library(tidyr)
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(ggplot2)
library(plyr)
## -------------------------------------------------------------------------
## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)
## -------------------------------------------------------------------------
## 
## Attaching package: 'plyr'
## The following objects are masked from 'package:dplyr':
## 
##     arrange, count, desc, failwith, id, mutate, rename, summarise,
##     summarize
library(stringr)
library(DataExplorer)
library(cbanalysis)
library(gvlma)
library(stargazer)
## 
## Please cite as:
##  Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
##  R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
library(knitr)

crime <- read.csv("https://raw.githubusercontent.com/xkong100/data-621/master/HW%203/crime-training-data.csv", stringsAsFactors = FALSE, check.names = FALSE, na.strings = c("", "NA"))
head(crime)
##   zn indus chas   nox    rm   age    dis rad tax ptratio  black lstat medv
## 1  0 19.58    0 0.605 7.929  96.2 2.0459   5 403    14.7 369.30  3.70 50.0
## 2  0 19.58    1 0.871 5.403 100.0 1.3216   5 403    14.7 396.90 26.82 13.4
## 3  0 18.10    0 0.740 6.485 100.0 1.9784  24 666    20.2 386.73 18.85 15.4
## 4 30  4.93    0 0.428 6.393   7.8 7.0355   6 300    16.6 374.71  5.19 23.7
## 5  0  2.46    0 0.488 7.155  92.2 2.7006   3 193    17.8 394.12  4.82 37.9
## 6  0  8.56    0 0.520 6.781  71.3 2.8561   5 384    20.9 395.58  7.67 26.5
##   target
## 1      1
## 2      1
## 3      1
## 4      0
## 5      0
## 6      0
nrow(crime)
## [1] 466
ncol(crime)
## [1] 14
plot_missing(crime)

summary(crime)
##        zn             indus             chas              nox        
##  Min.   :  0.00   Min.   : 0.460   Min.   :0.00000   Min.   :0.3890  
##  1st Qu.:  0.00   1st Qu.: 5.145   1st Qu.:0.00000   1st Qu.:0.4480  
##  Median :  0.00   Median : 9.690   Median :0.00000   Median :0.5380  
##  Mean   : 11.58   Mean   :11.105   Mean   :0.07082   Mean   :0.5543  
##  3rd Qu.: 16.25   3rd Qu.:18.100   3rd Qu.:0.00000   3rd Qu.:0.6240  
##  Max.   :100.00   Max.   :27.740   Max.   :1.00000   Max.   :0.8710  
##        rm             age              dis              rad       
##  Min.   :3.863   Min.   :  2.90   Min.   : 1.130   Min.   : 1.00  
##  1st Qu.:5.887   1st Qu.: 43.88   1st Qu.: 2.101   1st Qu.: 4.00  
##  Median :6.210   Median : 77.15   Median : 3.191   Median : 5.00  
##  Mean   :6.291   Mean   : 68.37   Mean   : 3.796   Mean   : 9.53  
##  3rd Qu.:6.630   3rd Qu.: 94.10   3rd Qu.: 5.215   3rd Qu.:24.00  
##  Max.   :8.780   Max.   :100.00   Max.   :12.127   Max.   :24.00  
##       tax           ptratio         black            lstat       
##  Min.   :187.0   Min.   :12.6   Min.   :  0.32   Min.   : 1.730  
##  1st Qu.:281.0   1st Qu.:16.9   1st Qu.:375.61   1st Qu.: 7.043  
##  Median :334.5   Median :18.9   Median :391.34   Median :11.350  
##  Mean   :409.5   Mean   :18.4   Mean   :357.12   Mean   :12.631  
##  3rd Qu.:666.0   3rd Qu.:20.2   3rd Qu.:396.24   3rd Qu.:16.930  
##  Max.   :711.0   Max.   :22.0   Max.   :396.90   Max.   :37.970  
##       medv           target      
##  Min.   : 5.00   Min.   :0.0000  
##  1st Qu.:17.02   1st Qu.:0.0000  
##  Median :21.20   Median :0.0000  
##  Mean   :22.59   Mean   :0.4914  
##  3rd Qu.:25.00   3rd Qu.:1.0000  
##  Max.   :50.00   Max.   :1.0000
s<- stargazer(crime,type="text", title="Results", align=TRUE)
## 
## Results
## ===============================================================
## Statistic  N   Mean   St. Dev.  Min   Pctl(25) Pctl(75)   Max  
## ---------------------------------------------------------------
## zn        466 11.577   23.365    0       0       16.2     100  
## indus     466 11.105   6.846   0.460   5.145    18.100  27.740 
## chas      466  0.071   0.257     0       0        0        1   
## nox       466  0.554   0.117   0.389   0.448    0.624    0.871 
## rm        466  6.291   0.705   3.863   5.887    6.630    8.780 
## age       466 68.368   28.321  2.900   43.875   94.100  100.000
## dis       466  3.796   2.107   1.130   2.101    5.215   12.127 
## rad       466  9.530   8.686     1       4        24      24   
## tax       466 409.502 167.900   187     281      666      711  
## ptratio   466 18.398   2.197   12.600  16.900   20.200  22.000 
## black     466 357.120  91.321  0.320  375.607  396.238  396.900
## lstat     466 12.631   7.102   1.730   7.043    16.930  37.970 
## medv      466 22.589   9.240     5      17.0      25      50   
## target    466  0.491   0.500     0       0        1        1   
## ---------------------------------------------------------------
plot_histogram(crime)

cor(crime)
##                  zn       indus        chas         nox          rm
## zn       1.00000000 -0.53826643 -0.04016203 -0.51704518  0.31981410
## indus   -0.53826643  1.00000000  0.06118317  0.75963008 -0.39271181
## chas    -0.04016203  0.06118317  1.00000000  0.09745577  0.09050979
## nox     -0.51704518  0.75963008  0.09745577  1.00000000 -0.29548972
## rm       0.31981410 -0.39271181  0.09050979 -0.29548972  1.00000000
## age     -0.57258054  0.63958182  0.07888366  0.73512782 -0.23281251
## dis      0.66012434 -0.70361886 -0.09657711 -0.76888404  0.19901584
## rad     -0.31548119  0.60062839 -0.01590037  0.59582984 -0.20844570
## tax     -0.31928408  0.73222922 -0.04676476  0.65387804 -0.29693430
## ptratio -0.39103573  0.39468980 -0.12866058  0.17626871 -0.36034706
## black    0.17941504 -0.35813561  0.04444450 -0.38015487  0.13266756
## lstat   -0.43299252  0.60711023 -0.05142322  0.59624264 -0.63202445
## medv     0.37671713 -0.49617432  0.16156528 -0.43012267  0.70533679
## target  -0.43168176  0.60485074  0.08004187  0.72610622 -0.15255334
##                 age         dis         rad         tax    ptratio
## zn      -0.57258054  0.66012434 -0.31548119 -0.31928408 -0.3910357
## indus    0.63958182 -0.70361886  0.60062839  0.73222922  0.3946898
## chas     0.07888366 -0.09657711 -0.01590037 -0.04676476 -0.1286606
## nox      0.73512782 -0.76888404  0.59582984  0.65387804  0.1762687
## rm      -0.23281251  0.19901584 -0.20844570 -0.29693430 -0.3603471
## age      1.00000000 -0.75089759  0.46031430  0.51212452  0.2554479
## dis     -0.75089759  1.00000000 -0.49499193 -0.53425464 -0.2333394
## rad      0.46031430 -0.49499193  1.00000000  0.90646323  0.4714516
## tax      0.51212452 -0.53425464  0.90646323  1.00000000  0.4744223
## ptratio  0.25544785 -0.23333940  0.47145160  0.47442229  1.0000000
## black   -0.27346774  0.29384407 -0.44637503 -0.44250586 -0.1816395
## lstat    0.60562001 -0.50752800  0.50310125  0.56418864  0.3773560
## medv    -0.37815605  0.25669476 -0.39766826 -0.49003287 -0.5159153
## target   0.63010625 -0.61867312  0.62810492  0.61111331  0.2508489
##              black       lstat       medv      target
## zn       0.1794150 -0.43299252  0.3767171 -0.43168176
## indus   -0.3581356  0.60711023 -0.4961743  0.60485074
## chas     0.0444445 -0.05142322  0.1615653  0.08004187
## nox     -0.3801549  0.59624264 -0.4301227  0.72610622
## rm       0.1326676 -0.63202445  0.7053368 -0.15255334
## age     -0.2734677  0.60562001 -0.3781560  0.63010625
## dis      0.2938441 -0.50752800  0.2566948 -0.61867312
## rad     -0.4463750  0.50310125 -0.3976683  0.62810492
## tax     -0.4425059  0.56418864 -0.4900329  0.61111331
## ptratio -0.1816395  0.37735605 -0.5159153  0.25084892
## black    1.0000000 -0.35336588  0.3300286 -0.35295680
## lstat   -0.3533659  1.00000000 -0.7358008  0.46912702
## medv     0.3300286 -0.73580078  1.0000000 -0.27055071
## target  -0.3529568  0.46912702 -0.2705507  1.00000000
pairs(crime)

library(moments)

skewness(crime)
##          zn       indus        chas         nox          rm         age 
##  2.18384094  0.28947632  3.34625531  0.74873687  0.48086725 -0.57957212 
##         dis         rad         tax     ptratio       black       lstat 
##  1.00211659  1.01353947  0.66144159 -0.75670251 -2.92572328  0.90850923 
##        medv      target 
##  1.08016704  0.03433982
d1 <- density(crime$target)
plot(d1, main="Density of the median crime rate")
polygon(d1,col="red")

d2 <- density(crime$indus)
plot(d2, main="Density of the non-retail business")
polygon(d2,col="blue")

d3 <- density(crime$nox)
plot(d3, main="Density of nitrogen oxides concentration")
polygon(d3,col="yellow")

d4 <- density(crime$age)
plot(d4, main="Density of proportion of owner-occupied units prior to 1940")
polygon(d4,col="pink")

d5 <- density(crime$dis)
plot(d5, main="Density of the weighted mean of distance to employment center")
polygon(d5,col="green")

d6 <- density(crime$tax)
plot(d6, main="Density of full-value property tax rate")
polygon(d6,col="purple")

boxplot(crime$indus,col="blue")

boxplot(crime$nox, col="yellow")

boxplot(crime$age, col="pink")

boxplot(crime$dis, col="green")

boxplot(crime$tax, col="purple")

library(rcompanion)

# age
plotNormalHistogram(crime$age, main="age")

qqnorm(crime$age, ylab="age")
qqline(crime$age,col="red")

T_sqrt_age <- sqrt(101-crime$age)
plotNormalHistogram(T_sqrt_age)

qqnorm(T_sqrt_age)
qqline(T_sqrt_age, col="red")

skewness(T_sqrt_age)
## [1] 0.07195121
T_cubic_age <- (101-crime$age)^(1/3)
plotNormalHistogram(T_cubic_age)

qqnorm(T_cubic_age)
qqline(T_cubic_age, col="blue")

skewness(T_cubic_age)
## [1] -0.1518753
T_log_age <- log(101-crime$age)
plotNormalHistogram(T_log_age)

qqnorm(T_log_age)
qqline(T_log_age,col="green")

skewness(T_log_age)
## [1] -0.7097797
# ptratio

plotNormalHistogram(crime$ptratio, main="ptratio")

qqnorm(crime$ptratio, ylab="ptratio")
qqline(crime$ptratio,col="red")

T_sqrt_ptratio <- sqrt(23-crime$ptratio)
plotNormalHistogram(T_sqrt_ptratio)

qqnorm(T_sqrt_ptratio)
qqline(T_sqrt_ptratio, col="red")

skewness(T_sqrt_ptratio)
## [1] 0.4156387
T_cubic_ptratio <- (23-crime$ptratio)^(1/3)
plotNormalHistogram(T_cubic_ptratio)

qqnorm(T_cubic_ptratio)
qqline(T_cubic_ptratio, col="blue")

skewness(T_cubic_ptratio)
## [1] 0.2952715
T_log_ptratio <- log(23-crime$ptratio)
plotNormalHistogram(T_log_ptratio)

qqnorm(T_log_ptratio)
qqline(T_log_ptratio,col="green")

skewness(T_log_ptratio)
## [1] 0.03604803
# dis

plotNormalHistogram(crime$dis, main="dis")

qqnorm(crime$dis, ylab="dis")
qqline(crime$dis,col="red")

T_sqrt_dis <- sqrt(crime$dis)
plotNormalHistogram(T_sqrt_dis)

qqnorm(T_sqrt_dis)
qqline(T_sqrt_dis, col="red")

skewness(T_sqrt_dis)
## [1] 0.5524993
T_cubic_dis <- (crime$dis)^(1/3)
plotNormalHistogram(T_cubic_dis)

qqnorm(T_cubic_dis)
qqline(T_cubic_dis, col="blue")

skewness(T_cubic_dis)
## [1] 0.4127918
T_log_dis <- log(crime$dis)
plotNormalHistogram(T_log_dis)

qqnorm(T_log_dis)
qqline(T_log_dis,col="green")

skewness(T_log_dis)
## [1] 0.1431555
#lstat

plotNormalHistogram(crime$lstat, main="lstat")

qqnorm(crime$lstat, ylab="lstat")
qqline(crime$lstat,col="red")

T_sqrt_lstat <- sqrt(crime$lstat)
plotNormalHistogram(T_sqrt_lstat)

qqnorm(T_sqrt_lstat)
qqline(T_sqrt_lstat, col="red")

skewness(T_sqrt_lstat)
## [1] 0.3042474
T_cubic_lstat <- (crime$lstat)^(1/3)
plotNormalHistogram(T_cubic_lstat)

qqnorm(T_cubic_lstat)
qqline(T_cubic_lstat, col="blue")

skewness(T_cubic_lstat)
## [1] 0.09875891
T_log_lstat <- log(crime$lstat)
plotNormalHistogram(T_log_lstat)

qqnorm(T_log_lstat)
qqline(T_log_lstat,col="green")

skewness(T_log_lstat)
## [1] -0.3291453
attach(crime)
trans_crime <- crime %>% mutate(sage=T_sqrt_age,lptratio=T_log_ptratio,ldis= T_log_dis, clstat=T_cubic_lstat) %>% dplyr ::select(-age,-ptratio,-dis,-lstat)
head(trans_crime)
##   zn indus chas   nox    rm rad tax  black medv target     sage  lptratio
## 1  0 19.58    0 0.605 7.929   5 403 369.30 50.0      1 2.190890 2.1162555
## 2  0 19.58    1 0.871 5.403   5 403 396.90 13.4      1 1.000000 2.1162555
## 3  0 18.10    0 0.740 6.485  24 666 386.73 15.4      1 1.000000 1.0296194
## 4 30  4.93    0 0.428 6.393   6 300 374.71 23.7      0 9.654015 1.8562980
## 5  0  2.46    0 0.488 7.155   3 193 394.12 37.9      0 2.966479 1.6486586
## 6  0  8.56    0 0.520 6.781   5 384 395.58 26.5      0 5.449771 0.7419373
##        ldis   clstat
## 1 0.7158378 1.546680
## 2 0.2788431 2.993318
## 3 0.6822884 2.661361
## 4 1.9509688 1.731367
## 5 0.9934740 1.689205
## 6 1.0494571 1.972113
m1 <-glm(target~., family= "binomial", data=crime)
plot(m1)

summary(m1)
## 
## Call:
## glm(formula = target ~ ., family = "binomial", data = crime)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.2854  -0.1372  -0.0017   0.0020   3.4721  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -36.839521   7.028726  -5.241 1.59e-07 ***
## zn           -0.061720   0.034410  -1.794 0.072868 .  
## indus        -0.072580   0.048546  -1.495 0.134894    
## chas          1.032352   0.759627   1.359 0.174139    
## nox          50.159513   8.049503   6.231 4.62e-10 ***
## rm           -0.692145   0.741431  -0.934 0.350548    
## age           0.034522   0.013883   2.487 0.012895 *  
## dis           0.765795   0.234407   3.267 0.001087 ** 
## rad           0.663015   0.165135   4.015 5.94e-05 ***
## tax          -0.006593   0.003064  -2.152 0.031422 *  
## ptratio       0.442217   0.132234   3.344 0.000825 ***
## black        -0.013094   0.006680  -1.960 0.049974 *  
## lstat         0.047571   0.054508   0.873 0.382802    
## medv          0.199734   0.071022   2.812 0.004919 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 645.88  on 465  degrees of freedom
## Residual deviance: 186.15  on 452  degrees of freedom
## AIC: 214.15
## 
## Number of Fisher Scoring iterations: 9
m2 <- glm(target~indus+nox+age+dis+tax+ptratio+medv+lstat, family="binomial", data=crime)
plot(m2)

summary(m2)
## 
## Call:
## glm(formula = target ~ indus + nox + age + dis + tax + ptratio + 
##     medv + lstat, family = "binomial", data = crime)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.1439  -0.3840  -0.0610   0.1931   2.8119  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -36.267175   5.074854  -7.146 8.91e-13 ***
## indus        -0.116645   0.044554  -2.618 0.008844 ** 
## nox          41.770158   6.477664   6.448 1.13e-10 ***
## age           0.022585   0.009984   2.262 0.023691 *  
## dis           0.444086   0.152570   2.911 0.003606 ** 
## tax           0.004582   0.001598   2.866 0.004151 ** 
## ptratio       0.320116   0.093793   3.413 0.000643 ***
## medv          0.147921   0.034328   4.309 1.64e-05 ***
## lstat         0.057610   0.043329   1.330 0.183654    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 645.88  on 465  degrees of freedom
## Residual deviance: 251.13  on 457  degrees of freedom
## AIC: 269.13
## 
## Number of Fisher Scoring iterations: 7
#transform
m3 <-glm(target~., family= "binomial", data=trans_crime)
plot(m3)

summary(m3)
## 
## Call:
## glm(formula = target ~ ., family = "binomial", data = trans_crime)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.9953  -0.1091  -0.0020   0.0015   3.5152  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -20.823841   7.519484  -2.769 0.005617 ** 
## zn           -0.056953   0.031518  -1.807 0.070767 .  
## indus        -0.026405   0.051044  -0.517 0.604953    
## chas          0.895290   0.761867   1.175 0.239944    
## nox          48.726617   7.683147   6.342 2.27e-10 ***
## rm           -1.215808   0.773727  -1.571 0.116098    
## rad           0.745502   0.177083   4.210 2.55e-05 ***
## tax          -0.006114   0.003247  -1.883 0.059729 .  
## black        -0.010808   0.006162  -1.754 0.079469 .  
## medv          0.240441   0.073483   3.272 0.001068 ** 
## sage         -0.465443   0.143417  -3.245 0.001173 ** 
## lptratio     -2.137684   0.552340  -3.870 0.000109 ***
## ldis          3.660742   0.967109   3.785 0.000154 ***
## clstat        0.011269   0.998199   0.011 0.990992    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 645.88  on 465  degrees of freedom
## Residual deviance: 175.22  on 452  degrees of freedom
## AIC: 203.22
## 
## Number of Fisher Scoring iterations: 9
m4 <- glm(target~indus+nox+sage+ldis+tax+lptratio+medv+clstat, family="binomial", data=trans_crime)
plot(m4)

summary(m4)
## 
## Call:
## glm(formula = target ~ indus + nox + sage + ldis + tax + lptratio + 
##     medv + clstat, family = "binomial", data = trans_crime)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -2.17783  -0.36004  -0.06073   0.16792   2.89893  
## 
## Coefficients:
##               Estimate Std. Error z value Pr(>|z|)    
## (Intercept) -31.142224   4.983598  -6.249 4.13e-10 ***
## indus        -0.101450   0.047486  -2.136 0.032646 *  
## nox          45.375324   6.615202   6.859 6.92e-12 ***
## sage         -0.297497   0.106595  -2.791 0.005256 ** 
## ldis          2.840540   0.723185   3.928 8.57e-05 ***
## tax           0.005386   0.001686   3.196 0.001395 ** 
## lptratio     -1.387024   0.396106  -3.502 0.000462 ***
## medv          0.167663   0.038331   4.374 1.22e-05 ***
## clstat        0.841858   0.754336   1.116 0.264411    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 645.88  on 465  degrees of freedom
## Residual deviance: 241.25  on 457  degrees of freedom
## AIC: 259.25
## 
## Number of Fisher Scoring iterations: 7
# Select models

library(lmtest)
## Loading required package: zoo
## 
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
lrtest(m1, m2, m3, m4)
## Likelihood ratio test
## 
## Model 1: target ~ zn + indus + chas + nox + rm + age + dis + rad + tax + 
##     ptratio + black + lstat + medv
## Model 2: target ~ indus + nox + age + dis + tax + ptratio + medv + lstat
## Model 3: target ~ zn + indus + chas + nox + rm + rad + tax + black + medv + 
##     sage + lptratio + ldis + clstat
## Model 4: target ~ indus + nox + sage + ldis + tax + lptratio + medv + 
##     clstat
##   #Df   LogLik Df  Chisq Pr(>Chisq)    
## 1  14  -93.074                         
## 2   9 -125.564 -5 64.981  1.131e-12 ***
## 3  14  -87.608  5 75.912  6.002e-15 ***
## 4   9 -120.627 -5 66.037  6.827e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
library(pscl)
## Classes and Methods for R developed in the
## Political Science Computational Laboratory
## Department of Political Science
## Stanford University
## Simon Jackman
## hurdle and zeroinfl functions by Achim Zeileis
pR2(m1)
##          llh      llhNull           G2     McFadden         r2ML 
##  -93.0736803 -322.9379132  459.7284658    0.7117908    0.6271361 
##         r2CU 
##    0.8362636
pR2(m2)
##          llh      llhNull           G2     McFadden         r2ML 
## -125.5642433 -322.9379132  394.7473398    0.6111815    0.5713426 
##         r2CU 
##    0.7618650
pR2(m3)
##          llh      llhNull           G2     McFadden         r2ML 
##  -87.6084007 -322.9379132  470.6590251    0.7287144    0.6357803 
##         r2CU 
##    0.8477903
pR2(m4)
##          llh      llhNull           G2     McFadden         r2ML 
## -120.6270630 -322.9379132  404.6217004    0.6264698    0.5803301 
##         r2CU 
##    0.7738496
test_result1 <- predict(m1, newdata=crime,type='response')
df <- bind_cols(crime, data.frame(scored_target=test_result1))%>% mutate(scored_target=ifelse(scored_target>0.5, 1, 0)) %>% print
##        zn indus chas    nox    rm   age     dis rad tax ptratio  black
## 1     0.0 19.58    0 0.6050 7.929  96.2  2.0459   5 403    14.7 369.30
## 2     0.0 19.58    1 0.8710 5.403 100.0  1.3216   5 403    14.7 396.90
## 3     0.0 18.10    0 0.7400 6.485 100.0  1.9784  24 666    20.2 386.73
## 4    30.0  4.93    0 0.4280 6.393   7.8  7.0355   6 300    16.6 374.71
## 5     0.0  2.46    0 0.4880 7.155  92.2  2.7006   3 193    17.8 394.12
## 6     0.0  8.56    0 0.5200 6.781  71.3  2.8561   5 384    20.9 395.58
## 7     0.0 18.10    0 0.6930 5.453 100.0  1.4896  24 666    20.2 396.90
## 8     0.0 18.10    0 0.6930 4.519 100.0  1.6582  24 666    20.2  88.27
## 9     0.0  5.19    0 0.5150 6.316  38.1  6.4584   5 224    20.2 389.71
## 10   80.0  3.64    0 0.3920 5.876  19.1  9.2203   1 315    16.4 395.18
## 11   22.0  5.86    0 0.4310 6.438   8.9  7.3967   7 330    19.1 377.07
## 12    0.0 12.83    0 0.4370 6.286  45.0  4.5026   5 398    18.7 383.23
## 13    0.0 18.10    0 0.5320 7.061  77.0  3.4106  24 666    20.2 395.28
## 14   22.0  5.86    0 0.4310 8.259   8.4  8.9067   7 330    19.1 396.90
## 15    0.0  2.46    0 0.4880 6.153  68.8  3.2797   3 193    17.8 387.11
## 16    0.0  2.18    0 0.4580 6.430  58.7  6.0622   3 222    18.7 394.12
## 17  100.0  1.32    0 0.4110 6.816  40.5  8.3248   5 256    15.1 392.90
## 18   20.0  3.97    0 0.6470 5.560  62.8  1.9865   5 264    13.0 392.40
## 19    0.0 18.10    0 0.6790 5.896  95.4  1.9096  24 666    20.2   7.68
## 20    0.0 18.10    0 0.6710 6.545  99.1  1.5192  24 666    20.2 396.90
## 21    0.0  3.24    0 0.4600 6.144  32.2  5.8736   4 430    16.9 368.57
## 22    0.0  6.20    1 0.5070 6.726  66.5  3.6519   8 307    17.4 360.20
## 23    0.0  2.89    0 0.4450 7.416  62.5  3.4952   2 276    18.0 396.90
## 24   18.0  2.31    0 0.5380 6.575  65.2  4.0900   1 296    15.3 396.90
## 25    0.0  9.90    0 0.5440 6.382  67.2  3.5325   4 304    18.4 395.21
## 26   60.0  2.93    0 0.4010 6.604  18.8  6.2196   1 265    15.6 376.70
## 27    0.0  5.19    0 0.5150 5.985  45.4  4.8122   5 224    20.2 396.90
## 28    0.0 18.10    0 0.7000 5.390  98.9  1.7281  24 666    20.2 396.90
## 29   25.0  4.86    0 0.4260 6.167  46.7  5.4007   4 281    19.0 390.64
## 30   25.0  5.13    0 0.4530 6.456  67.8  7.2255   8 284    19.7 396.90
## 31    0.0  6.20    0 0.5040 5.981  68.1  3.6715   8 307    17.4 378.35
## 32    0.0  8.56    0 0.5200 6.474  97.1  2.4329   5 384    20.9 395.24
## 33    0.0  2.89    0 0.4450 7.820  36.9  3.4952   2 276    18.0 393.53
## 34    0.0 18.10    0 0.6790 6.380  95.6  1.9682  24 666    20.2  60.72
## 35    0.0  5.19    0 0.5150 6.059  37.3  4.8122   5 224    20.2 396.14
## 36   80.0  4.95    0 0.4110 6.630  23.4  5.1167   4 245    19.2 396.90
## 37    0.0  2.46    0 0.4880 7.831  53.6  3.1992   3 193    17.8 392.63
## 38    0.0 18.10    0 0.6140 6.185  96.7  2.1705  24 666    20.2 379.70
## 39    0.0  4.39    0 0.4420 5.898  52.3  8.0136   3 352    18.8 364.61
## 40    0.0 19.58    0 0.6050 6.402  95.2  2.2625   5 403    14.7 330.04
## 41    0.0  3.24    0 0.4600 5.868  25.8  5.2146   4 430    16.9 382.44
## 42    0.0 18.10    0 0.6710 6.649  93.3  1.3449  24 666    20.2 363.02
## 43    0.0  4.05    0 0.5100 5.859  68.7  2.7019   5 296    16.6 393.23
## 44   80.0  1.91    0 0.4130 5.663  21.9 10.5857   4 334    22.0 382.80
## 45   12.5  7.87    0 0.5240 6.009  82.9  6.2267   5 311    15.2 396.90
## 46    0.0  6.91    0 0.4480 6.030  85.5  5.6894   3 233    17.9 392.74
## 47    0.0 18.10    0 0.5830 6.312  51.9  3.9917  24 666    20.2 388.62
## 48    0.0  9.90    0 0.5440 5.782  71.7  4.0317   4 304    18.4 396.90
## 49    0.0 18.10    0 0.5320 6.229  90.7  3.0993  24 666    20.2 395.33
## 50    0.0  8.14    0 0.5380 6.674  87.3  4.2390   4 307    21.0 380.23
## 51   55.0  2.25    0 0.3890 6.453  31.9  7.3073   1 300    15.3 394.72
## 52   12.5  7.87    0 0.5240 6.004  85.9  6.5921   5 311    15.2 386.71
## 53    0.0  5.96    0 0.4990 5.933  68.2  3.3603   5 279    19.2 396.90
## 54    0.0  1.89    0 0.5180 6.540  59.7  6.2669   1 422    15.9 389.96
## 55    0.0 21.89    0 0.6240 5.693  96.0  1.7883   4 437    21.2 392.11
## 56    0.0 10.59    1 0.4890 5.344 100.0  3.8750   4 277    18.6 396.90
## 57   20.0  3.33    0 0.4429 7.820  64.5  4.6947   5 216    14.9 387.31
## 58   20.0  3.33    1 0.4429 7.645  49.7  5.2119   5 216    14.9 377.07
## 59    0.0  7.07    0 0.4690 6.421  78.9  4.9671   2 242    17.8 396.90
## 60    0.0 18.10    0 0.7000 5.000  89.5  1.5184  24 666    20.2 396.90
## 61    0.0 19.58    0 0.6050 5.877  79.2  2.4259   5 403    14.7 227.61
## 62    0.0  9.90    0 0.5440 4.973  37.8  2.5194   4 304    18.4 350.45
## 63    0.0 18.10    0 0.7400 6.459  94.8  1.9879  24 666    20.2  43.06
## 64   45.0  3.44    0 0.4370 6.782  41.1  3.7886   5 398    15.2 393.87
## 65   35.0  6.06    0 0.4379 5.706  28.4  6.6407   1 304    16.9 394.02
## 66    0.0  8.14    0 0.5380 5.949  61.8  4.7075   4 307    21.0 396.90
## 67    0.0 27.74    0 0.6090 5.414  98.3  1.7554   4 711    20.1 344.05
## 68    0.0 18.10    0 0.7180 6.411 100.0  1.8589  24 666    20.2 318.75
## 69    0.0  9.69    0 0.5850 5.390  72.9  2.7986   6 391    19.2 396.90
## 70    0.0  6.20    1 0.5070 6.631  76.5  4.1480   8 307    17.4 388.45
## 71    0.0 18.10    0 0.6310 6.216 100.0  1.1691  24 666    20.2 366.15
## 72    0.0  8.56    0 0.5200 6.167  90.0  2.4210   5 384    20.9 392.69
## 73    0.0 19.58    0 0.6050 5.875  94.6  2.4259   5 403    14.7 292.29
## 74    0.0 13.89    0 0.5500 6.642  85.1  3.4211   5 276    16.4 392.78
## 75    0.0 18.10    0 0.6140 5.304  97.3  2.1007  24 666    20.2 349.48
## 76    0.0 10.81    0 0.4130 6.245   6.2  5.2873   4 305    19.2 377.17
## 77    0.0 19.58    0 0.8710 5.597  94.9  1.5257   5 403    14.7 351.85
## 78    0.0 13.89    1 0.5500 5.888  56.0  3.1121   5 276    16.4 392.80
## 79    0.0  2.18    0 0.4580 6.998  45.8  6.0622   3 222    18.7 394.63
## 80    0.0  7.38    0 0.4930 6.376  54.3  4.5404   5 287    19.6 396.90
## 81    0.0 10.01    0 0.5470 5.913  92.9  2.3534   6 432    17.8 394.95
## 82    0.0 18.10    0 0.5320 6.242  64.7  3.4242  24 666    20.2 396.90
## 83    0.0 18.10    0 0.6930 6.471  98.8  1.7257  24 666    20.2 391.98
## 84   80.0  4.95    0 0.4110 6.861  27.9  5.1167   4 245    19.2 396.90
## 85   20.0  3.97    0 0.5750 8.297  67.0  2.4216   5 264    13.0 384.54
## 86   30.0  4.93    0 0.4280 6.481  18.5  6.1899   6 300    16.6 379.41
## 87    0.0 19.58    0 0.6050 6.943  97.4  1.8773   5 403    14.7 363.43
## 88    0.0 18.10    0 0.6710 6.794  98.8  1.3580  24 666    20.2 396.90
## 89    0.0 10.01    0 0.5470 6.176  72.5  2.7301   6 432    17.8 393.30
## 90   21.0  5.64    0 0.4390 5.963  45.7  6.8147   4 243    16.8 395.56
## 91   25.0  4.86    0 0.4260 6.727  33.5  5.4007   4 281    19.0 396.90
## 92   70.0  2.24    0 0.4000 7.041  10.0  7.8278   5 358    14.8 371.58
## 93    0.0 18.10    0 0.6790 6.782  90.8  1.8195  24 666    20.2  21.57
## 94    0.0  7.38    0 0.4930 6.083  43.7  5.4159   5 287    19.6 396.90
## 95   45.0  3.44    0 0.4370 6.951  21.5  6.4798   5 398    15.2 377.68
## 96    0.0 18.10    0 0.6140 6.229  88.0  1.9512  24 666    20.2 383.32
## 97   40.0  1.25    0 0.4290 6.490  44.4  8.7921   1 335    19.7 396.90
## 98    0.0 18.10    0 0.5970 4.628 100.0  1.5539  24 666    20.2  28.79
## 99    0.0 18.10    0 0.7400 6.461  93.3  2.0026  24 666    20.2  27.49
## 100   0.0  5.19    0 0.5150 6.037  34.5  5.9853   5 224    20.2 396.90
## 101   0.0  8.14    0 0.5380 5.713  94.1  4.2330   4 307    21.0 360.17
## 102   0.0 10.59    0 0.4890 6.326  52.5  4.3549   4 277    18.6 394.87
## 103   0.0 19.58    0 0.8710 5.709  98.5  1.6232   5 403    14.7 261.95
## 104  75.0  4.00    0 0.4100 5.888  47.6  7.3197   3 469    21.1 396.90
## 105   0.0 18.10    0 0.5970 5.155 100.0  1.5894  24 666    20.2 210.97
## 106   0.0 18.10    0 0.7700 6.251  91.1  2.2955  24 666    20.2 350.65
## 107   0.0 11.93    0 0.5730 6.794  89.3  2.3889   1 273    21.0 393.45
## 108  55.0  3.78    0 0.4840 6.874  28.1  6.4654   5 370    17.6 387.97
## 109   0.0 21.89    0 0.6240 6.454  98.4  1.8498   4 437    21.2 394.08
## 110   0.0  3.24    0 0.4600 6.333  17.2  5.2146   4 430    16.9 375.21
## 111   0.0  6.20    0 0.5040 8.725  83.0  2.8944   8 307    17.4 382.00
## 112  25.0  5.13    0 0.4530 6.145  29.2  7.8148   8 284    19.7 390.68
## 113   0.0  5.19    0 0.5150 5.869  46.3  5.2311   5 224    20.2 396.90
## 114  52.5  5.32    0 0.4050 6.209  31.3  7.3172   6 293    16.6 396.90
## 115   0.0  6.91    0 0.4480 5.682  33.8  5.1004   3 233    17.9 396.90
## 116  82.5  2.03    0 0.4150 6.162  38.4  6.2700   2 348    14.7 393.77
## 117   0.0 18.10    0 0.6550 5.952  84.7  2.8715  24 666    20.2  22.01
## 118   0.0  9.90    0 0.5440 5.972  76.7  3.1025   4 304    18.4 396.24
## 119   0.0 21.89    0 0.6240 5.757  98.4  2.3460   4 437    21.2 262.76
## 120   0.0  6.20    0 0.5070 6.618  80.8  3.2721   8 307    17.4 396.90
## 121   0.0  8.14    0 0.5380 5.990  81.7  4.2579   4 307    21.0 386.75
## 122   0.0  6.91    0 0.4480 6.169   6.6  5.7209   3 233    17.9 383.37
## 123   0.0  6.20    0 0.5040 7.412  76.9  3.6715   8 307    17.4 376.14
## 124   0.0 18.10    0 0.6590 5.608 100.0  1.2852  24 666    20.2 332.09
## 125  20.0  3.97    0 0.6470 8.398  91.5  2.2885   5 264    13.0 386.86
## 126   0.0 10.01    0 0.5470 6.715  81.6  2.6775   6 432    17.8 395.59
## 127   0.0 18.10    0 0.6680 4.138 100.0  1.1370  24 666    20.2 396.90
## 128   0.0  5.19    0 0.5150 5.968  58.5  4.8122   5 224    20.2 396.90
## 129   0.0  8.56    0 0.5200 5.836  91.9  2.2110   5 384    20.9 395.67
## 130   0.0 13.92    0 0.4370 6.549  51.0  5.9604   4 289    16.0 392.85
## 131   0.0 18.10    0 0.6710 6.968  91.9  1.4165  24 666    20.2 396.90
## 132   0.0 18.10    1 0.7700 5.803  89.0  1.9047  24 666    20.2 353.04
## 133  25.0  4.86    0 0.4260 6.302  32.2  5.4007   4 281    19.0 396.90
## 134   0.0 18.10    0 0.5800 5.713  56.7  2.8237  24 666    20.2 396.90
## 135  90.0  1.21    1 0.4010 7.923  24.8  5.8850   1 198    13.6 395.52
## 136   0.0  2.89    0 0.4450 6.625  57.8  3.4952   2 276    18.0 357.98
## 137  12.5  7.87    0 0.5240 5.631 100.0  6.0821   5 311    15.2 386.63
## 138   0.0  8.14    0 0.5380 5.935  29.3  4.4986   4 307    21.0 386.85
## 139   0.0 21.89    0 0.6240 6.174  93.6  1.6119   4 437    21.2 388.08
## 140  30.0  4.93    0 0.4280 6.606  42.2  6.1899   6 300    16.6 383.78
## 141   0.0  6.91    0 0.4480 6.069  40.0  5.7209   3 233    17.9 389.39
## 142   0.0  5.96    0 0.4990 5.841  61.4  3.3779   5 279    19.2 377.56
## 143   0.0 19.58    1 0.6050 8.375  93.9  2.1620   5 403    14.7 388.45
## 144   0.0 21.89    0 0.6240 6.335  98.2  2.1107   4 437    21.2 394.67
## 145   0.0  9.69    0 0.5850 5.569  73.5  2.3999   6 391    19.2 395.77
## 146   0.0  6.20    0 0.5040 8.266  78.3  2.8944   8 307    17.4 385.05
## 147   0.0 21.89    0 0.6240 5.019 100.0  1.4394   4 437    21.2 396.90
## 148   0.0  6.20    0 0.5040 7.163  79.9  3.2157   8 307    17.4 372.08
## 149   0.0 18.10    0 0.7000 5.277  98.1  1.4261  24 666    20.2 396.90
## 150  12.5  6.07    0 0.4090 5.885  33.0  6.4980   4 345    18.9 396.90
## 151   0.0 18.10    0 0.7400 6.629  94.6  2.1247  24 666    20.2 109.85
## 152  34.0  6.09    0 0.4330 6.495  18.4  5.4917   7 329    16.1 383.61
## 153   0.0 10.59    1 0.4890 5.807  53.8  3.6526   4 277    18.6 390.94
## 154   0.0 27.74    0 0.6090 5.093  98.0  1.8226   4 711    20.1 318.43
## 155   0.0 19.58    0 0.6050 6.319  96.1  2.1000   5 403    14.7 297.09
## 156  40.0  6.41    1 0.4470 6.758  32.9  4.0776   4 254    17.6 396.90
## 157   0.0 18.10    0 0.7180 6.824  76.5  1.7940  24 666    20.2  48.45
## 158  82.5  2.03    0 0.4150 7.610  15.7  6.2700   2 348    14.7 395.38
## 159   0.0  8.56    0 0.5200 6.405  85.4  2.7147   5 384    20.9  70.80
## 160   0.0 19.58    1 0.6050 7.802  98.2  2.0407   5 403    14.7 389.61
## 161   0.0 18.10    0 0.5840 6.162  97.4  2.2060  24 666    20.2 302.76
## 162   0.0  6.20    0 0.5040 8.040  86.5  3.2157   8 307    17.4 387.38
## 163  20.0  3.33    0 0.4429 6.968  37.2  5.2447   5 216    14.9 392.23
## 164  80.0  3.37    0 0.3980 5.787  31.1  6.6115   4 337    16.1 396.90
## 165   0.0  4.05    0 0.5100 5.572  88.5  2.5961   5 296    16.6 396.90
## 166  22.0  5.86    0 0.4310 6.718  17.5  7.8265   7 330    19.1 393.74
## 167  52.5  5.32    0 0.4050 6.315  45.6  7.3172   6 293    16.6 396.90
## 168   0.0 18.10    0 0.6930 5.747  98.9  1.6334  24 666    20.2 393.10
## 169   0.0 18.10    0 0.6790 5.304  89.1  1.6475  24 666    20.2 127.36
## 170   0.0 18.10    1 0.7700 6.395  91.0  2.5052  24 666    20.2 391.34
## 171  75.0  2.95    0 0.4280 6.595  21.8  5.4011   3 252    18.3 395.63
## 172   0.0 19.58    0 0.8710 5.272  94.0  1.7364   5 403    14.7  88.63
## 173   0.0  8.14    0 0.5380 5.834  56.5  4.4986   4 307    21.0 395.62
## 174  28.0 15.04    0 0.4640 6.211  28.9  3.6659   4 270    18.2 396.33
## 175  20.0  3.97    0 0.6470 7.327  94.5  2.0788   5 264    13.0 393.42
## 176   0.0 18.10    0 0.5840 5.837  59.7  1.9976  24 666    20.2  24.65
## 177   0.0 18.10    0 0.7180 4.963  91.4  1.7523  24 666    20.2 316.03
## 178   0.0 12.83    0 0.4370 5.874  36.6  4.5026   5 398    18.7 396.06
## 179   0.0 18.10    0 0.7000 4.368  91.2  1.4395  24 666    20.2 285.83
## 180  20.0  3.97    0 0.6470 7.014  84.6  2.1329   5 264    13.0 384.07
## 181   0.0  3.41    0 0.4890 7.079  63.1  3.4145   2 270    17.8 396.06
## 182  30.0  4.93    0 0.4280 6.358  52.9  7.0355   6 300    16.6 372.75
## 183   0.0 18.10    0 0.7000 6.051  82.5  2.1678  24 666    20.2 378.38
## 184  90.0  1.22    0 0.4030 7.249  21.9  8.6966   5 226    17.9 395.93
## 185   0.0  2.46    0 0.4880 5.604  89.8  2.9879   3 193    17.8 391.00
## 186   0.0  8.56    0 0.5200 6.727  79.9  2.7778   5 384    20.9 394.76
## 187  90.0  3.75    0 0.3940 7.454  34.2  6.3361   3 244    15.9 386.34
## 188   0.0 18.10    0 0.7130 6.297  91.8  2.3682  24 666    20.2 385.09
## 189   0.0 18.10    1 0.7180 8.780  82.9  1.9047  24 666    20.2 354.55
## 190   0.0 18.10    0 0.5320 6.750  74.9  3.3317  24 666    20.2 393.07
## 191  55.0  3.78    0 0.4840 6.696  56.4  5.7321   5 370    17.6 396.90
## 192   0.0  7.38    0 0.4930 6.431  14.7  5.4159   5 287    19.6 393.68
## 193  20.0  6.96    0 0.4640 6.240  16.3  4.4290   3 223    18.6 396.90
## 194   0.0 18.10    0 0.7400 6.152 100.0  1.9142  24 666    20.2   9.32
## 195   0.0 19.58    1 0.8710 5.012  88.0  1.6102   5 403    14.7 343.28
## 196   0.0  6.91    0 0.4480 6.211   6.5  5.7209   3 233    17.9 394.46
## 197   0.0 11.93    0 0.5730 6.593  69.1  2.4786   1 273    21.0 391.99
## 198   0.0 18.10    0 0.7400 6.251  96.6  2.1980  24 666    20.2 388.52
## 199   0.0 18.10    0 0.5970 6.657 100.0  1.5275  24 666    20.2  35.05
## 200  20.0  3.97    0 0.6470 7.206  91.6  1.9301   5 264    13.0 387.89
## 201  80.0  3.37    0 0.3980 6.290  17.8  6.6115   4 337    16.1 396.90
## 202   0.0 19.58    0 0.8710 5.186  93.8  1.5296   5 403    14.7 356.99
## 203   0.0 18.10    0 0.6790 5.957 100.0  1.8026  24 666    20.2  16.45
## 204   0.0 21.89    0 0.6240 6.151  97.9  1.6687   4 437    21.2 396.90
## 205  25.0  5.13    0 0.4530 6.762  43.4  7.9809   8 284    19.7 395.58
## 206   0.0  8.14    0 0.5380 5.813 100.0  4.0952   4 307    21.0 394.54
## 207  70.0  2.24    0 0.4000 6.345  20.1  7.8278   5 358    14.8 368.24
## 208  20.0  6.96    1 0.4640 7.691  51.8  4.3665   3 223    18.6 390.77
## 209  22.0  5.86    0 0.4310 6.226  79.2  8.0555   7 330    19.1 376.14
## 210   0.0 13.89    1 0.5500 5.951  93.8  2.8893   5 276    16.4 396.90
## 211   0.0 18.10    0 0.6710 6.380  96.2  1.3861  24 666    20.2 396.90
## 212   0.0  9.69    0 0.5850 5.707  54.0  2.3817   6 391    19.2 396.90
## 213   0.0 21.89    0 0.6240 5.942  93.5  1.9669   4 437    21.2 378.25
## 214   0.0 25.65    0 0.5810 5.879  95.8  2.0063   2 188    19.1 379.38
## 215   0.0 18.10    0 0.7000 4.880 100.0  1.5895  24 666    20.2 372.92
## 216   0.0  5.19    0 0.5150 6.310  38.5  6.4584   5 224    20.2 389.40
## 217   0.0 18.10    0 0.5840 6.003  94.5  2.5403  24 666    20.2 331.29
## 218  20.0  3.97    0 0.5750 7.470  52.6  2.8720   5 264    13.0 390.30
## 219   0.0 18.10    0 0.6140 6.484  93.6  2.3053  24 666    20.2 396.21
## 220  12.5  6.07    0 0.4090 5.878  21.4  6.4980   4 345    18.9 396.21
## 221  20.0  3.97    0 0.6470 7.333 100.0  1.8946   5 264    13.0 383.29
## 222   0.0  9.90    0 0.5440 6.023  90.4  2.8340   4 304    18.4 396.30
## 223  35.0  1.52    0 0.4420 7.241  49.3  7.0379   1 284    15.5 394.74
## 224  20.0  3.97    0 0.6470 8.704  86.9  1.8010   5 264    13.0 389.70
## 225   0.0  6.20    0 0.5070 7.358  71.6  4.1480   8 307    17.4 390.07
## 226   0.0 13.92    0 0.4370 5.790  58.0  6.3200   4 289    16.0 396.90
## 227   0.0 27.74    0 0.6090 5.454  92.7  1.8209   4 711    20.1 395.09
## 228   0.0  6.20    0 0.5070 8.337  73.3  3.8384   8 307    17.4 385.91
## 229   0.0  8.14    0 0.5380 6.072 100.0  4.1750   4 307    21.0 376.73
## 230   0.0 18.10    0 0.7130 6.317  83.0  2.7344  24 666    20.2 396.90
## 231   0.0 18.10    0 0.6550 5.759  48.2  3.0665  24 666    20.2 334.40
## 232   0.0 18.10    0 0.7130 7.393  99.3  2.4527  24 666    20.2 375.87
## 233   0.0  7.38    0 0.4930 5.708  74.3  4.7211   5 287    19.6 391.13
## 234   0.0 18.10    0 0.5830 6.114  79.8  3.5459  24 666    20.2 392.68
## 235   0.0 13.89    1 0.5500 6.373  92.4  3.3633   5 276    16.4 393.74
## 236  95.0  1.47    0 0.4030 7.135  13.9  7.6534   3 402    17.0 384.30
## 237  80.0  1.91    0 0.4130 5.936  19.5 10.5857   4 334    22.0 376.04
## 238  34.0  6.09    0 0.4330 6.982  17.7  5.4917   7 329    16.1 390.43
## 239   0.0  4.05    0 0.5100 6.020  47.2  3.5549   5 296    16.6 393.23
## 240   0.0 21.89    0 0.6240 5.857  98.2  1.6686   4 437    21.2 392.04
## 241   0.0 18.10    0 0.7400 6.406  97.2  2.0651  24 666    20.2 385.96
## 242   0.0  9.90    0 0.5440 5.914  83.2  3.9986   4 304    18.4 390.70
## 243   0.0 19.58    0 0.8710 5.628 100.0  1.5166   5 403    14.7 169.27
## 244   0.0 18.10    0 0.7130 6.436  87.9  2.3158  24 666    20.2 100.19
## 245  40.0  6.41    0 0.4470 6.482  32.1  4.1403   4 254    17.6 396.90
## 246   0.0 25.65    0 0.5810 5.870  69.7  2.2577   2 188    19.1 389.15
## 247   0.0 18.10    0 0.7180 6.006  95.3  1.8746  24 666    20.2 319.98
## 248   0.0 19.58    0 0.8710 4.926  95.7  1.4608   5 403    14.7 391.71
## 249   0.0  8.56    0 0.5200 6.229  91.2  2.5451   5 384    20.9 391.23
## 250   0.0 10.81    0 0.4130 5.961  17.5  5.2873   4 305    19.2 376.94
## 251  20.0  3.33    0 0.4429 6.812  32.2  4.1007   5 216    14.9 396.90
## 252   0.0  2.46    0 0.4880 6.563  95.6  2.8470   3 193    17.8 396.90
## 253   0.0 18.10    0 0.7700 6.112  81.3  2.5091  24 666    20.2 390.74
## 254  95.0  1.47    0 0.4030 6.975  15.3  7.6534   3 402    17.0 396.90
## 255  20.0  3.97    0 0.6470 7.203  81.8  2.1121   5 264    13.0 392.80
## 256   0.0 18.10    0 0.6930 5.987 100.0  1.5888  24 666    20.2 396.90
## 257   0.0 25.65    0 0.5810 6.004  84.1  2.1974   2 188    19.1 377.67
## 258   0.0  2.89    0 0.4450 8.069  76.0  3.4952   2 276    18.0 396.90
## 259  12.5  6.07    0 0.4090 5.594  36.8  6.4980   4 345    18.9 396.90
## 260   0.0 19.58    0 0.8710 4.903  97.8  1.3459   5 403    14.7 396.90
## 261  40.0  6.41    1 0.4470 6.826  27.6  4.8628   4 254    17.6 393.45
## 262  22.0  5.86    0 0.4310 6.487  13.0  7.3967   7 330    19.1 396.28
## 263   0.0  9.69    0 0.5850 5.926  42.6  2.3817   6 391    19.2 396.90
## 264   0.0 10.01    0 0.5470 5.928  88.2  2.4631   6 432    17.8 344.91
## 265   0.0 19.58    0 0.8710 6.130 100.0  1.4191   5 403    14.7 172.91
## 266   0.0  3.41    0 0.4890 7.007  86.3  3.4217   2 270    17.8 396.90
## 267   0.0 19.58    0 0.8710 6.122  97.3  1.6180   5 403    14.7 372.80
## 268   0.0 19.58    0 0.8710 5.468 100.0  1.4118   5 403    14.7 396.90
## 269   0.0 18.10    0 0.7700 6.398  88.0  2.5182  24 666    20.2 374.56
## 270   0.0 11.93    0 0.5730 6.030  80.8  2.5050   1 273    21.0 396.90
## 271   0.0 18.10    0 0.7130 6.417  98.3  2.1850  24 666    20.2 304.21
## 272   0.0 18.10    0 0.6590 4.138 100.0  1.1781  24 666    20.2 370.22
## 273   0.0 21.89    0 0.6240 5.822  95.4  2.4699   4 437    21.2 388.69
## 274   0.0  4.05    0 0.5100 6.546  33.1  3.1323   5 296    16.6 390.96
## 275   0.0 25.65    0 0.5810 5.986  88.4  1.9929   2 188    19.1 385.02
## 276   0.0 18.10    0 0.7130 6.513  89.9  2.8016  24 666    20.2 393.82
## 277   0.0 18.10    0 0.7130 5.976  87.9  2.5806  24 666    20.2  10.48
## 278   0.0  8.14    0 0.5380 5.813  90.3  4.6820   4 307    21.0 376.88
## 279   0.0 18.10    0 0.6790 6.202  78.7  1.8629  24 666    20.2  18.82
## 280  22.0  5.86    0 0.4310 6.108  34.9  8.0555   7 330    19.1 390.18
## 281  60.0  1.69    0 0.4110 6.579  35.9 10.7103   4 411    18.3 370.78
## 282  12.5  7.87    0 0.5240 5.889  39.0  5.4509   5 311    15.2 390.50
## 283   0.0 21.89    0 0.6240 6.326  97.7  2.2710   4 437    21.2 396.90
## 284   0.0 18.10    0 0.7130 6.301  83.7  2.7831  24 666    20.2 272.21
## 285   0.0 10.81    0 0.4130 6.065   7.8  5.2873   4 305    19.2 390.91
## 286   0.0 18.10    0 0.5970 5.757 100.0  1.4130  24 666    20.2   2.60
## 287   0.0  9.90    0 0.5440 6.266  82.8  3.2628   4 304    18.4 393.39
## 288   0.0 10.01    0 0.5470 6.254  84.2  2.2565   6 432    17.8 388.74
## 289   0.0 18.10    0 0.7000 5.536 100.0  1.5804  24 666    20.2 396.90
## 290   0.0 18.10    0 0.6930 6.405  96.0  1.6768  24 666    20.2 396.90
## 291   0.0 19.58    0 0.6050 5.854  91.8  2.4220   5 403    14.7 395.11
## 292   0.0  8.14    0 0.5380 5.727  69.5  3.7965   4 307    21.0 390.95
## 293   0.0  6.20    1 0.5070 6.951  88.5  2.8617   8 307    17.4 391.70
## 294   0.0  4.49    0 0.4490 6.015  45.1  4.4272   3 247    18.5 395.99
## 295   0.0 27.74    0 0.6090 5.983  83.5  2.1099   4 711    20.1 396.90
## 296   0.0 18.10    1 0.7700 6.212  97.4  2.1222  24 666    20.2 377.73
## 297   0.0  7.38    0 0.4930 6.041  49.9  4.7211   5 287    19.6 396.90
## 298   0.0 18.10    0 0.6310 4.970 100.0  1.3325  24 666    20.2 375.52
## 299  40.0  6.41    1 0.4470 7.267  49.0  4.7872   4 254    17.6 389.25
## 300   0.0  6.91    0 0.4480 6.770   2.9  5.7209   3 233    17.9 385.41
## 301  40.0  6.41    0 0.4470 6.854  42.8  4.2673   4 254    17.6 396.90
## 302   0.0 10.59    0 0.4890 6.182  42.4  3.9454   4 277    18.6 393.63
## 303   0.0 10.59    1 0.4890 6.064  59.1  4.2392   4 277    18.6 381.32
## 304   0.0  9.69    0 0.5850 5.670  28.8  2.7986   6 391    19.2 393.29
## 305   0.0  9.90    0 0.5440 6.635  82.5  3.3175   4 304    18.4 396.90
## 306  33.0  2.18    0 0.4720 7.236  41.1  4.0220   7 222    18.4 393.68
## 307   0.0 21.89    0 0.6240 6.431  98.8  1.8125   4 437    21.2 396.90
## 308   0.0 18.10    0 0.7130 6.081  84.4  2.7175  24 666    20.2 396.90
## 309  30.0  4.93    0 0.4280 6.897  54.3  6.3361   6 300    16.6 391.25
## 310  20.0  6.96    0 0.4640 6.538  58.7  3.9175   3 223    18.6 394.96
## 311   0.0 10.59    0 0.4890 5.891  22.3  3.9454   4 277    18.6 396.90
## 312   0.0 18.10    0 0.6930 6.193  92.6  1.7912  24 666    20.2 396.90
## 313   0.0  4.05    0 0.5100 6.315  73.4  3.3175   5 296    16.6 395.60
## 314   0.0  4.49    0 0.4490 6.389  48.0  4.7794   3 247    18.5 396.90
## 315   0.0 21.89    0 0.6240 6.372  97.9  2.3274   4 437    21.2 385.76
## 316   0.0 10.01    0 0.5470 6.021  82.6  2.7474   6 432    17.8 394.51
## 317  40.0  1.25    0 0.4290 6.939  34.5  8.7921   1 335    19.7 389.85
## 318   0.0  2.46    0 0.4880 6.144  62.2  2.5979   3 193    17.8 396.90
## 319   0.0  7.38    0 0.4930 6.426  52.3  4.5404   5 287    19.6 396.90
## 320   0.0 18.10    0 0.6930 6.343 100.0  1.5741  24 666    20.2 396.90
## 321   0.0  6.20    1 0.5070 6.879  77.7  3.2721   8 307    17.4 390.39
## 322  20.0  3.97    0 0.6470 7.520  89.4  2.1398   5 264    13.0 388.37
## 323   0.0 18.10    0 0.5970 6.852 100.0  1.4655  24 666    20.2 179.36
## 324  30.0  4.93    0 0.4280 6.095  65.1  6.3361   6 300    16.6 394.62
## 325   0.0  9.90    0 0.5440 6.113  58.8  4.0019   4 304    18.4 396.23
## 326   0.0 13.92    0 0.4370 6.127  18.4  5.5027   4 289    16.0 396.90
## 327  75.0  2.95    0 0.4280 7.024  15.8  5.4011   3 252    18.3 395.62
## 328  80.0  1.52    0 0.4040 7.107  36.6  7.3090   2 329    12.6 354.31
## 329   0.0  8.14    0 0.5380 6.096  96.9  3.7598   4 307    21.0 248.31
## 330  22.0  5.86    0 0.4310 5.605  70.2  7.9549   7 330    19.1 389.13
## 331   0.0 18.10    0 0.7130 6.749  92.6  2.3236  24 666    20.2   0.32
## 332  12.5  7.87    0 0.5240 6.377  94.3  6.3467   5 311    15.2 392.52
## 333   0.0  8.14    0 0.5380 6.142  91.7  3.9769   4 307    21.0 396.90
## 334  35.0  6.06    0 0.4379 6.031  23.3  6.6407   1 304    16.9 362.25
## 335   0.0 18.10    0 0.6930 5.349  96.0  1.7028  24 666    20.2 396.90
## 336   0.0 18.10    0 0.5800 6.437  75.0  2.8965  24 666    20.2 393.37
## 337  80.0  3.64    0 0.3920 6.108  32.0  9.2203   1 315    16.4 392.89
## 338  20.0  6.96    0 0.4640 5.856  42.1  4.4290   3 223    18.6 388.65
## 339   0.0 12.83    0 0.4370 6.140  45.8  4.0905   5 398    18.7 386.96
## 340   0.0  9.90    0 0.5440 6.567  87.3  3.6023   4 304    18.4 395.69
## 341   0.0 19.58    0 0.8710 6.510 100.0  1.7659   5 403    14.7 364.31
## 342   0.0  2.46    0 0.4880 7.765  83.3  2.7410   3 193    17.8 395.56
## 343  80.0  0.46    0 0.4220 7.875  32.0  5.6484   4 255    14.4 394.23
## 344   0.0 18.10    0 0.6310 3.863 100.0  1.5106  24 666    20.2 131.42
## 345  21.0  5.64    0 0.4390 6.511  21.1  6.8147   4 243    16.8 396.90
## 346   0.0  8.14    0 0.5380 5.599  85.7  4.4546   4 307    21.0 303.42
## 347   0.0 18.10    0 0.6930 5.683 100.0  1.4254  24 666    20.2 384.97
## 348   0.0  2.18    0 0.4580 7.147  54.2  6.0622   3 222    18.7 396.90
## 349  21.0  5.64    0 0.4390 6.115  63.0  6.8147   4 243    16.8 393.97
## 350  20.0  6.96    1 0.4640 5.920  61.5  3.9175   3 223    18.6 391.34
## 351  95.0  2.68    0 0.4161 7.853  33.2  5.1180   4 224    14.7 392.78
## 352  12.5  7.87    0 0.5240 6.012  66.6  5.5605   5 311    15.2 395.60
## 353   0.0 25.65    0 0.5810 5.961  92.9  2.0869   2 188    19.1 378.09
## 354   0.0 10.59    1 0.4890 5.404  88.6  3.6650   4 277    18.6 395.24
## 355   0.0  8.56    0 0.5200 6.137  87.4  2.7147   5 384    20.9 394.47
## 356  33.0  2.18    0 0.4720 6.849  70.3  3.1827   7 222    18.4 396.90
## 357   0.0 10.01    0 0.5470 5.731  65.2  2.7592   6 432    17.8 391.50
## 358  20.0  3.97    0 0.6470 6.842 100.0  2.0107   5 264    13.0 391.93
## 359   0.0 18.10    0 0.5840 5.427  95.4  2.4298  24 666    20.2 352.58
## 360  28.0 15.04    0 0.4640 6.249  77.3  3.6150   4 270    18.2 396.90
## 361   0.0  6.91    0 0.4480 5.399  95.3  5.8700   3 233    17.9 396.90
## 362  85.0  4.15    0 0.4290 6.516  27.7  8.5353   4 351    17.9 392.43
## 363   0.0  8.56    0 0.5200 6.127  85.2  2.1224   5 384    20.9 387.69
## 364   0.0  3.41    0 0.4890 6.405  73.9  3.0921   2 270    17.8 393.55
## 365   0.0 18.10    0 0.7700 5.362  96.2  2.1036  24 666    20.2 380.79
## 366   0.0 10.59    0 0.4890 5.783  72.7  4.3549   4 277    18.6 389.43
## 367   0.0  9.69    0 0.5850 6.027  79.7  2.4982   6 391    19.2 396.90
## 368   0.0 18.10    0 0.6790 6.434 100.0  1.8347  24 666    20.2  27.25
## 369   0.0 21.89    0 0.6240 6.458  98.9  2.1185   4 437    21.2 395.04
## 370   0.0 10.01    0 0.5470 5.872  73.1  2.4775   6 432    17.8 338.63
## 371   0.0 18.10    0 0.6140 6.103  85.1  2.0218  24 666    20.2   2.52
## 372  21.0  5.64    0 0.4390 5.998  21.4  6.8147   4 243    16.8 396.90
## 373   0.0 18.10    0 0.6140 5.648  87.6  1.9512  24 666    20.2 291.55
## 374  22.0  5.86    0 0.4310 5.593  76.5  7.9549   7 330    19.1 372.49
## 375   0.0 18.10    0 0.7000 5.520 100.0  1.5331  24 666    20.2 396.90
## 376   0.0 18.10    0 0.7130 6.728  94.1  2.4961  24 666    20.2   6.68
## 377   0.0 18.10    0 0.7000 5.713  97.0  1.9265  24 666    20.2 394.43
## 378  52.5  5.32    0 0.4050 6.565  22.9  7.3172   6 293    16.6 371.72
## 379   0.0 18.10    0 0.7000 4.652 100.0  1.4672  24 666    20.2 396.90
## 380  34.0  6.09    0 0.4330 6.590  40.4  5.4917   7 329    16.1 395.75
## 381   0.0 10.59    0 0.4890 6.375  32.3  3.9454   4 277    18.6 385.81
## 382   0.0  6.20    0 0.5040 7.686  17.0  3.3751   8 307    17.4 377.51
## 383   0.0 12.83    0 0.4370 6.279  74.5  4.0522   5 398    18.7 373.66
## 384   0.0 18.10    0 0.6930 5.887  94.7  1.7821  24 666    20.2 396.90
## 385   0.0 18.10    0 0.6710 6.223 100.0  1.3861  24 666    20.2 393.74
## 386   0.0 18.10    1 0.7700 6.127  83.4  2.7227  24 666    20.2 395.43
## 387   0.0 18.10    0 0.5800 6.167  84.0  3.0334  24 666    20.2 396.90
## 388   0.0 27.74    0 0.6090 5.983  98.8  1.8681   4 711    20.1 390.11
## 389   0.0  4.39    0 0.4420 6.014  48.5  8.0136   3 352    18.8 385.64
## 390   0.0  6.20    1 0.5070 6.164  91.3  3.0480   8 307    17.4 395.24
## 391   0.0 10.81    0 0.4130 6.417   6.6  5.2873   4 305    19.2 383.73
## 392   0.0  4.05    0 0.5100 6.860  74.4  2.9153   5 296    16.6 391.27
## 393   0.0 18.10    0 0.7130 6.185  98.7  2.2616  24 666    20.2 396.90
## 394   0.0  6.91    0 0.4480 5.602  62.0  6.0877   3 233    17.9 396.90
## 395   0.0 18.10    1 0.6310 6.683  96.8  1.3567  24 666    20.2 375.33
## 396  90.0  2.02    0 0.4100 6.728  36.1 12.1265   5 187    17.0 384.46
## 397   0.0 13.92    0 0.4370 6.009  42.3  5.5027   4 289    16.0 396.90
## 398   0.0 18.10    0 0.6930 6.404 100.0  1.6390  24 666    20.2 376.11
## 399   0.0 18.10    0 0.5830 5.905  53.2  3.1523  24 666    20.2 388.22
## 400   0.0 19.58    1 0.8710 6.152  82.6  1.7455   5 403    14.7  88.01
## 401   0.0 18.10    0 0.5800 5.926  71.0  2.9084  24 666    20.2 368.74
## 402  45.0  3.44    0 0.4370 6.739  30.8  6.4798   5 398    15.2 389.71
## 403   0.0 18.10    0 0.5830 5.871  41.9  3.7240  24 666    20.2 370.73
## 404   0.0 12.83    0 0.4370 6.273   6.0  4.2515   5 398    18.7 394.92
## 405   0.0 18.10    0 0.5840 6.833  94.3  2.0882  24 666    20.2  81.33
## 406   0.0  4.05    0 0.5100 6.416  84.1  2.6463   5 296    16.6 395.50
## 407  45.0  3.44    0 0.4370 7.178  26.3  6.4798   5 398    15.2 390.49
## 408  85.0  0.74    0 0.4100 6.383  35.7  9.1876   2 313    17.3 396.90
## 409   0.0 18.10    0 0.5840 5.565  70.6  2.0635  24 666    20.2   3.65
## 410   0.0  8.56    0 0.5200 6.195  54.4  2.7778   5 384    20.9 393.49
## 411   0.0  9.90    0 0.5440 5.705  77.7  3.9450   4 304    18.4 396.42
## 412   0.0  6.91    0 0.4480 5.786  33.3  5.1004   3 233    17.9 396.90
## 413  22.0  5.86    0 0.4310 6.433  49.1  7.8265   7 330    19.1 374.71
## 414   0.0 11.93    0 0.5730 6.120  76.7  2.2875   1 273    21.0 396.90
## 415   0.0  8.56    0 0.5200 5.851  96.7  2.1069   5 384    20.9 394.05
## 416  70.0  2.24    0 0.4000 6.871  47.4  7.8278   5 358    14.8 390.86
## 417  28.0 15.04    0 0.4640 6.442  53.6  3.6659   4 270    18.2 395.01
## 418   0.0 10.01    0 0.5470 6.092  95.4  2.5480   6 432    17.8 396.90
## 419   0.0 19.58    0 0.6050 6.066 100.0  1.7573   5 403    14.7 353.89
## 420   0.0  2.46    0 0.4880 6.980  58.4  2.8290   3 193    17.8 396.90
## 421  60.0  1.69    0 0.4110 5.884  18.5 10.7103   4 411    18.3 392.33
## 422   0.0 19.58    1 0.6050 6.250  92.6  1.7984   5 403    14.7 338.92
## 423   0.0 19.58    0 0.6050 7.489  90.8  1.9709   5 403    14.7 374.43
## 424   0.0  8.14    0 0.5380 5.570  98.1  3.7979   4 307    21.0 376.57
## 425   0.0  8.14    0 0.5380 5.701  95.0  3.7872   4 307    21.0 358.77
## 426  25.0  5.13    0 0.4530 5.927  47.2  6.9320   8 284    19.7 396.90
## 427   0.0 19.58    0 0.8710 5.404 100.0  1.5916   5 403    14.7 341.60
## 428   0.0 19.58    1 0.8710 6.129  96.0  1.7494   5 403    14.7 321.02
## 429   0.0 18.10    0 0.6710 7.313  97.9  1.3163  24 666    20.2 396.90
## 430   0.0 18.10    0 0.7130 6.655  98.2  2.3552  24 666    20.2 355.29
## 431  17.5  1.38    0 0.4161 7.104  59.5  9.2229   3 216    18.6 393.24
## 432  80.0  1.52    0 0.4040 7.287  34.1  7.3090   2 329    12.6 396.90
## 433   0.0  9.69    0 0.5850 6.019  65.3  2.4091   6 391    19.2 396.90
## 434   0.0  5.96    0 0.4990 5.966  30.2  3.8473   5 279    19.2 393.43
## 435  45.0  3.44    0 0.4370 7.185  38.9  4.5667   5 398    15.2 396.90
## 436   0.0  8.14    0 0.5380 6.047  88.8  4.4534   4 307    21.0 306.38
## 437  45.0  3.44    0 0.4370 6.556  29.1  4.5667   5 398    15.2 382.84
## 438   0.0 18.10    0 0.6930 5.852  77.8  1.5004  24 666    20.2 338.16
## 439  95.0  2.68    0 0.4161 8.034  31.9  5.1180   4 224    14.7 390.55
## 440   0.0  8.14    0 0.5380 5.456  36.6  3.7965   4 307    21.0 288.99
## 441   0.0 13.92    0 0.4370 6.678  31.1  5.9604   4 289    16.0 396.90
## 442   0.0 18.10    0 0.7130 6.701  90.0  2.5975  24 666    20.2 255.23
## 443   0.0 18.10    0 0.5320 5.762  40.3  4.0983  24 666    20.2 392.92
## 444  80.0  1.52    0 0.4040 7.274  38.3  7.3090   2 329    12.6 392.20
## 445   0.0  3.41    0 0.4890 6.417  66.1  3.0923   2 270    17.8 392.18
## 446  80.0  4.95    0 0.4110 7.148  27.7  5.1167   4 245    19.2 396.90
## 447   0.0 18.10    0 0.5970 5.617  97.9  1.4547  24 666    20.2 314.64
## 448  60.0  2.93    0 0.4010 6.800   9.9  6.2196   1 265    15.6 393.37
## 449   0.0 18.10    0 0.7400 6.341  96.4  2.0720  24 666    20.2 318.01
## 450   0.0 18.10    0 0.6140 6.980  67.6  2.5329  24 666    20.2 374.68
## 451   0.0 18.10    0 0.6680 4.906 100.0  1.1742  24 666    20.2 396.90
## 452   0.0  8.14    0 0.5380 5.965  89.2  4.0123   4 307    21.0 392.53
## 453  33.0  2.18    0 0.4720 7.420  71.9  3.0992   7 222    18.4 396.90
## 454   0.0 18.10    0 0.6930 5.531  85.4  1.6074  24 666    20.2 329.46
## 455   0.0  8.14    0 0.5380 5.924  94.1  4.3996   4 307    21.0 394.33
## 456  25.0  4.86    0 0.4260 6.619  70.4  5.4007   4 281    19.0 395.63
## 457   0.0 10.59    0 0.4890 5.412   9.8  3.5875   4 277    18.6 348.93
## 458  12.5  7.87    0 0.5240 6.172  96.1  5.9505   5 311    15.2 396.90
## 459   0.0 18.10    1 0.6680 5.875  89.6  1.1296  24 666    20.2 347.88
## 460   0.0  6.20    0 0.5070 6.086  61.5  3.6519   8 307    17.4 376.75
## 461   0.0 18.10    0 0.7130 5.936  80.3  2.7792  24 666    20.2   3.50
## 462   0.0 18.10    0 0.7130 6.208  95.0  2.2222  24 666    20.2 100.63
## 463   0.0 18.10    0 0.6790 6.193  78.1  1.9356  24 666    20.2  96.73
## 464   0.0 18.10    0 0.5840 6.425  74.8  2.2004  24 666    20.2  97.95
## 465   0.0 12.83    0 0.4370 6.232  53.7  5.0141   5 398    18.7 386.40
## 466   0.0 18.10    0 0.7000 5.036  97.0  1.7700  24 666    20.2 396.90
##     lstat medv target scored_target
## 1    3.70 50.0      1             1
## 2   26.82 13.4      1             1
## 3   18.85 15.4      1             1
## 4    5.19 23.7      0             0
## 5    4.82 37.9      0             0
## 6    7.67 26.5      0             0
## 7   30.59  5.0      1             1
## 8   36.98  7.0      1             1
## 9    5.68 22.2      0             1
## 10   9.25 20.9      0             0
## 11   3.59 24.8      0             0
## 12   8.94 21.4      0             0
## 13   7.01 25.0      1             1
## 14   3.54 42.8      1             0
## 15  13.15 29.6      0             0
## 16   5.21 28.7      0             0
## 17   3.95 31.6      0             0
## 18  10.45 22.8      1             1
## 19  24.39  8.3      1             1
## 20  21.08 10.9      1             1
## 21   9.09 19.8      0             0
## 22   8.05 29.0      1             1
## 23   6.19 33.2      0             0
## 24   4.98 24.0      0             0
## 25  10.36 23.1      1             0
## 26   4.38 29.1      0             0
## 27   9.74 19.0      0             0
## 28  20.85 11.5      1             1
## 29   7.51 22.9      0             0
## 30   6.73 22.2      0             0
## 31  11.65 24.3      1             1
## 32  12.27 19.8      0             0
## 33   3.57 43.8      0             0
## 34  24.08  9.5      1             1
## 35   8.51 20.6      0             0
## 36   4.70 27.9      0             0
## 37   4.45 50.0      0             0
## 38  18.03 14.6      1             1
## 39  12.67 17.2      0             0
## 40  11.32 22.3      1             1
## 41   9.97 19.3      0             0
## 42  23.24 13.9      1             1
## 43   9.64 22.6      0             0
## 44   8.05 18.2      0             0
## 45  13.27 18.9      0             0
## 46  18.80 16.6      0             0
## 47  10.58 21.2      1             1
## 48  15.94 19.8      0             0
## 49  12.87 19.6      1             1
## 50  11.98 21.0      1             1
## 51   8.23 22.0      0             0
## 52  17.10 18.9      0             0
## 53   9.68 18.9      0             0
## 54   8.65 16.5      0             0
## 55  17.19 16.2      1             1
## 56  23.09 20.0      1             0
## 57   3.76 45.4      0             0
## 58   3.01 46.0      0             0
## 59   9.14 21.6      0             0
## 60  31.99  7.4      1             1
## 61  12.14 23.8      1             1
## 62  12.64 16.1      1             0
## 63  23.98 11.8      1             1
## 64   6.68 32.0      0             0
## 65  12.43 17.1      0             0
## 66   8.26 20.4      1             1
## 67  23.97  7.0      0             0
## 68  15.02 16.7      1             1
## 69  21.14 19.7      1             1
## 70   9.54 25.1      1             1
## 71   9.53 50.0      1             1
## 72  12.33 20.1      0             0
## 73  14.43 17.4      1             1
## 74   9.69 28.7      0             1
## 75  24.91 12.0      1             1
## 76   7.54 23.4      0             0
## 77  21.45 15.4      1             1
## 78  13.51 23.3      0             0
## 79   2.94 33.4      0             0
## 80   6.87 23.1      0             0
## 81  16.21 18.8      0             0
## 82  10.74 23.0      1             1
## 83  17.12 13.1      1             1
## 84   3.33 28.5      0             0
## 85   7.44 50.0      1             1
## 86   6.36 23.7      0             0
## 87   4.59 41.3      1             1
## 88  21.24 13.3      1             1
## 89  12.04 21.2      0             0
## 90  13.45 19.7      0             0
## 91   5.29 28.0      0             0
## 92   4.74 29.0      0             0
## 93  25.79  7.5      1             1
## 94  12.79 22.2      0             0
## 95   5.10 37.0      0             0
## 96  13.11 21.4      1             1
## 97   5.98 22.9      0             0
## 98  34.37 17.9      1             1
## 99  18.05  9.6      1             1
## 100  8.01 21.1      0             1
## 101 22.60 12.7      1             1
## 102 10.97 24.4      0             0
## 103 15.79 19.4      1             1
## 104 14.80 18.9      0             0
## 105 20.08 16.3      1             1
## 106 14.19 19.9      1             1
## 107  6.48 22.0      0             0
## 108  4.61 31.2      0             0
## 109 14.59 17.1      1             1
## 110  7.34 22.6      0             0
## 111  4.63 50.0      1             1
## 112  6.86 23.3      0             0
## 113  9.80 19.5      0             1
## 114  7.14 23.2      0             0
## 115 10.21 19.3      0             0
## 116  7.43 24.1      0             0
## 117 17.15 19.0      1             1
## 118  9.97 20.3      1             0
## 119 17.31 15.6      1             1
## 120  7.60 30.1      1             1
## 121 14.67 17.5      1             1
## 122  5.81 25.3      0             0
## 123  5.25 31.7      1             1
## 124 12.13 27.9      1             1
## 125  5.91 48.8      1             1
## 126 10.16 22.8      0             0
## 127 37.97 13.8      1             1
## 128  9.29 18.7      0             0
## 129 18.66 19.5      0             0
## 130  7.39 27.1      0             0
## 131 17.21 10.4      1             1
## 132 14.64 16.8      1             1
## 133  6.72 24.8      0             0
## 134 14.76 20.1      1             1
## 135  3.16 50.0      0             0
## 136  6.65 28.4      0             0
## 137 29.93 16.5      0             0
## 138  6.58 23.1      1             0
## 139 24.16 14.0      1             1
## 140  7.37 23.3      0             0
## 141  9.55 21.2      0             0
## 142 11.41 20.0      0             0
## 143  3.32 50.0      1             1
## 144 16.96 18.1      1             1
## 145 15.10 17.5      0             1
## 146  4.14 44.8      1             1
## 147 34.41 14.4      1             1
## 148  6.36 31.6      1             1
## 149 30.81  7.2      1             1
## 150  8.79 20.9      0             0
## 151 23.27 13.4      1             1
## 152  8.67 26.4      0             0
## 153 16.03 22.4      0             0
## 154 29.68  8.1      0             0
## 155 11.10 23.8      1             1
## 156  3.53 32.4      0             0
## 157 22.74  8.4      1             1
## 158  3.11 42.3      0             0
## 159 10.63 18.6      0             1
## 160  1.92 50.0      1             1
## 161 24.10 13.3      1             1
## 162  3.13 37.6      1             1
## 163  4.59 35.4      0             0
## 164 10.24 19.4      0             0
## 165 14.69 23.1      0             0
## 166  6.56 26.2      0             0
## 167  7.60 22.3      0             0
## 168 19.92  8.5      1             1
## 169 26.64 10.4      1             1
## 170 13.27 21.7      1             1
## 171  4.32 30.8      0             0
## 172 16.14 13.1      1             1
## 173  8.47 19.9      1             1
## 174  6.21 25.0      0             0
## 175 11.25 31.0      1             1
## 176 15.69 10.2      1             1
## 177 14.00 21.9      1             1
## 178  9.10 20.3      0             0
## 179 30.63  8.8      1             1
## 180 14.79 30.7      1             1
## 181  5.70 28.7      0             0
## 182 11.22 22.2      0             0
## 183 18.76 23.2      1             1
## 184  4.81 35.4      0             0
## 185 13.98 26.4      0             0
## 186  9.42 27.5      0             0
## 187  3.11 44.0      0             0
## 188 17.27 16.1      1             1
## 189  5.29 21.9      1             1
## 190  7.74 23.7      1             1
## 191  7.18 23.9      0             0
## 192  5.08 24.6      0             0
## 193  6.59 25.2      0             0
## 194 26.45  8.7      1             1
## 195 12.12 15.3      1             1
## 196  7.44 24.7      0             0
## 197  9.67 22.4      0             0
## 198 16.44 12.6      1             1
## 199 21.22 17.2      1             1
## 200  8.10 36.5      1             1
## 201  4.67 23.5      0             0
## 202 28.32 17.8      1             1
## 203 20.62  8.8      1             1
## 204 18.46 17.8      1             1
## 205  9.50 25.0      0             0
## 206 19.88 14.5      1             1
## 207  4.97 22.5      0             0
## 208  6.58 35.2      0             0
## 209 10.15 20.5      0             0
## 210 17.92 21.5      0             1
## 211 23.69 13.1      1             1
## 212 12.01 21.8      0             1
## 213 16.90 17.4      1             1
## 214 17.58 18.8      0             0
## 215 30.62 10.2      1             1
## 216  6.75 20.7      0             1
## 217 21.32 19.1      1             1
## 218  3.16 43.5      1             1
## 219 18.68 16.7      1             1
## 220  8.10 22.0      0             0
## 221  7.79 36.0      1             1
## 222 11.72 19.4      1             0
## 223  5.49 32.7      0             0
## 224  5.12 50.0      1             1
## 225  4.73 31.5      1             1
## 226 15.84 20.3      0             0
## 227 18.06 15.2      0             0
## 228  2.47 41.7      1             1
## 229 13.04 14.5      1             1
## 230 13.99 19.5      1             1
## 231 14.13 19.9      1             1
## 232 16.74 17.8      1             1
## 233 11.74 18.5      1             0
## 234 14.98 19.1      1             1
## 235 10.50 23.0      0             1
## 236  4.45 32.9      0             0
## 237  5.57 20.6      0             0
## 238  4.86 33.1      0             0
## 239 10.11 23.2      0             0
## 240 21.32 13.3      0             1
## 241 19.52 17.1      1             1
## 242 18.33 17.8      1             0
## 243 16.65 15.6      1             1
## 244 16.22 14.3      1             1
## 245  7.19 29.1      0             0
## 246 14.37 22.0      0             0
## 247 15.70 14.2      1             1
## 248 29.53 14.6      1             1
## 249 15.55 19.4      1             0
## 250  9.88 21.7      0             0
## 251  4.85 35.1      0             0
## 252  5.68 32.5      0             0
## 253 12.67 22.6      1             1
## 254  4.56 34.9      0             0
## 255  9.59 33.8      1             1
## 256 26.77  5.6      1             1
## 257 14.27 20.3      0             0
## 258  4.21 38.7      0             0
## 259 13.09 17.4      0             0
## 260 29.29 11.8      1             1
## 261  4.16 33.1      0             0
## 262  5.90 24.4      0             0
## 263 13.59 24.5      1             1
## 264 15.76 18.3      0             0
## 265 27.80 13.8      1             1
## 266  5.50 23.6      0             0
## 267 14.10 21.5      1             1
## 268 26.42 15.6      1             1
## 269  7.79 25.0      1             1
## 270  7.88 11.9      0             0
## 271 19.31 13.0      1             1
## 272 23.34 11.9      1             1
## 273 15.03 18.4      1             1
## 274  5.33 29.4      0             0
## 275 14.81 21.4      0             0
## 276 10.29 20.2      1             1
## 277 19.01 12.7      1             1
## 278 14.81 16.6      1             1
## 279 14.52 10.9      1             1
## 280  9.16 24.3      1             0
## 281  5.49 24.1      0             0
## 282 15.71 21.7      0             0
## 283 12.26 19.6      1             1
## 284 16.23 14.9      1             1
## 285  5.52 22.8      0             0
## 286 10.11 15.0      1             1
## 287  7.90 21.6      1             0
## 288 10.45 18.5      0             0
## 289 23.60 11.3      1             1
## 290 19.37 12.5      1             1
## 291 11.64 22.7      1             1
## 292 11.28 18.2      1             0
## 293  9.71 26.7      1             1
## 294 12.86 22.5      0             0
## 295 13.35 20.1      0             0
## 296 17.60 17.8      1             1
## 297  7.70 20.4      1             0
## 298  3.26 50.0      1             1
## 299  6.05 33.2      0             0
## 300  4.84 26.6      0             0
## 301  2.98 32.0      0             0
## 302  9.47 25.0      0             0
## 303 14.66 24.4      0             0
## 304 17.60 23.1      0             1
## 305  4.54 22.8      1             0
## 306  6.93 36.1      0             0
## 307 15.39 18.0      1             1
## 308 14.70 20.0      1             1
## 309 11.38 22.0      0             0
## 310  7.73 24.4      0             0
## 311 10.87 22.6      0             0
## 312 15.17 13.8      1             1
## 313  6.29 24.6      0             0
## 314  9.62 23.9      0             0
## 315 11.12 23.0      1             1
## 316 10.30 19.2      0             0
## 317  5.89 26.6      0             0
## 318  9.45 36.2      0             0
## 319  7.20 23.8      0             0
## 320 20.32  7.2      1             1
## 321  9.93 27.5      1             1
## 322  7.26 43.1      1             1
## 323 19.78 27.5      1             1
## 324 12.40 20.1      0             0
## 325 12.73 21.0      1             0
## 326  8.58 23.9      0             0
## 327  1.98 34.9      0             0
## 328  8.61 30.3      0             0
## 329 20.34 13.5      1             1
## 330 18.46 18.5      0             0
## 331 17.44 13.4      1             1
## 332 20.45 15.0      0             0
## 333 18.72 15.2      1             1
## 334  7.83 19.4      0             0
## 335 19.77  8.3      1             1
## 336 14.36 23.2      1             1
## 337  6.57 21.9      0             0
## 338 13.00 21.1      1             0
## 339 10.27 20.8      0             0
## 340  9.28 23.8      1             0
## 341  7.39 23.3      1             1
## 342  7.56 39.8      0             0
## 343  2.97 50.0      0             0
## 344 13.33 23.1      1             1
## 345  5.28 25.0      0             0
## 346 16.51 13.9      1             1
## 347 22.98  5.0      1             1
## 348  5.33 36.2      0             0
## 349  9.43 20.5      0             0
## 350 13.65 20.7      0             0
## 351  3.81 48.5      0             0
## 352 12.43 22.9      0             0
## 353 17.93 20.5      0             0
## 354 23.98 19.3      1             0
## 355 13.44 19.3      0             0
## 356  7.53 28.2      0             0
## 357 13.61 19.3      0             0
## 358  6.90 30.1      1             1
## 359 18.14 13.8      1             1
## 360 10.59 20.6      0             0
## 361 30.81 14.4      0             0
## 362  6.36 23.1      0             0
## 363 14.09 20.4      0             0
## 364  8.20 22.0      0             0
## 365 10.19 20.8      1             1
## 366 18.06 22.5      0             0
## 367 14.33 16.8      0             1
## 368 29.05  7.2      1             1
## 369 12.60 19.2      1             1
## 370 15.37 20.4      0             0
## 371 23.29 13.4      1             1
## 372  8.43 23.4      0             0
## 373 14.10 20.8      1             1
## 374 12.50 17.6      0             0
## 375 24.56 12.3      1             1
## 376 18.71 14.9      1             1
## 377 17.11 15.1      1             1
## 378  9.51 24.8      0             0
## 379 28.28 10.5      1             1
## 380  9.50 22.0      0             0
## 381  9.38 28.1      0             0
## 382  3.92 46.7      1             1
## 383 11.97 20.0      0             0
## 384 16.35 12.7      1             1
## 385 21.78 10.2      1             1
## 386 11.48 22.7      1             1
## 387 16.29 19.9      1             1
## 388 18.07 13.6      0             0
## 389 10.53 17.5      0             0
## 390 21.46 21.7      1             1
## 391  6.72 24.2      0             0
## 392  6.92 29.9      0             0
## 393 18.13 14.1      1             1
## 394 16.20 19.4      0             0
## 395  3.73 50.0      1             1
## 396  4.50 30.1      0             0
## 397 10.40 21.7      0             0
## 398 20.31 12.1      1             1
## 399 11.45 20.6      1             1
## 400 15.02 15.6      1             1
## 401 18.13 19.1      1             1
## 402  4.69 30.5      0             0
## 403 13.34 20.6      1             1
## 404  6.78 24.1      0             0
## 405 19.69 14.1      1             1
## 406  9.04 23.6      0             0
## 407  2.87 36.4      0             0
## 408  5.77 24.7      0             0
## 409 17.16 11.7      1             1
## 410 13.00 21.7      0             0
## 411 11.50 16.2      0             0
## 412 14.15 20.0      0             0
## 413  9.52 24.5      0             0
## 414  9.08 20.6      0             0
## 415 16.47 19.5      0             0
## 416  6.07 24.8      0             0
## 417  8.16 22.9      0             0
## 418 17.09 18.7      0             0
## 419  6.43 24.3      1             1
## 420  5.04 37.2      0             0
## 421  7.79 18.6      0             0
## 422  5.50 27.0      1             1
## 423  1.73 50.0      1             1
## 424 21.02 13.6      1             1
## 425 18.35 13.1      1             1
## 426  9.22 19.6      0             0
## 427 13.28 19.6      1             1
## 428 15.12 17.0      1             1
## 429 13.44 15.0      1             1
## 430 17.73 15.2      1             1
## 431  8.05 33.0      0             0
## 432  4.08 33.3      0             0
## 433 12.92 21.2      0             1
## 434 10.13 24.7      0             0
## 435  5.39 34.9      0             0
## 436 17.28 14.8      1             1
## 437  4.56 29.8      0             0
## 438 29.97  6.3      1             1
## 439  2.88 50.0      0             0
## 440 11.69 20.2      1             1
## 441  6.27 28.6      0             0
## 442 16.42 16.4      1             1
## 443 10.42 21.8      1             1
## 444  6.62 34.6      0             0
## 445  8.81 22.6      0             0
## 446  3.56 37.3      0             0
## 447 26.40 17.2      1             1
## 448  5.03 31.1      0             0
## 449 17.79 14.9      1             1
## 450 11.66 29.8      1             1
## 451 34.77 13.8      1             1
## 452 13.83 19.6      1             1
## 453  6.47 33.4      0             0
## 454 27.38  8.5      1             1
## 455 16.30 15.6      1             1
## 456  7.22 23.9      0             0
## 457 29.55 23.7      1             0
## 458 19.15 27.1      0             1
## 459  8.88 50.0      1             1
## 460 10.88 24.0      1             1
## 461 16.94 13.5      1             1
## 462 15.17 11.7      1             1
## 463 21.52 11.0      1             1
## 464 12.03 16.1      1             1
## 465 12.34 21.2      0             0
## 466 25.68  9.7      1             1
library(caret)
## Loading required package: lattice
cm1 <- confusionMatrix(as.factor(df$scored_target), as.factor(df$target), positive="1", mode="everything") %>% print
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction   0   1
##          0 222  20
##          1  15 209
##                                           
##                Accuracy : 0.9249          
##                  95% CI : (0.8971, 0.9471)
##     No Information Rate : 0.5086          
##     P-Value [Acc > NIR] : <2e-16          
##                                           
##                   Kappa : 0.8497          
##  Mcnemar's Test P-Value : 0.499           
##                                           
##             Sensitivity : 0.9127          
##             Specificity : 0.9367          
##          Pos Pred Value : 0.9330          
##          Neg Pred Value : 0.9174          
##               Precision : 0.9330          
##                  Recall : 0.9127          
##                      F1 : 0.9227          
##              Prevalence : 0.4914          
##          Detection Rate : 0.4485          
##    Detection Prevalence : 0.4807          
##       Balanced Accuracy : 0.9247          
##                                           
##        'Positive' Class : 1               
## 
library(pROC)
## Type 'citation("pROC")' for a citation.
## 
## Attaching package: 'pROC'
## The following objects are masked from 'package:stats':
## 
##     cov, smooth, var
curve <- roc(df$target, df$scored_target)
plot(curve, main="pROC")

test_result2 <- predict(m3, newdata=trans_crime,type='response')
df1 <- bind_cols(trans_crime, data.frame(scored_target=test_result2))%>% mutate(scored_target=ifelse(scored_target>0.5, 1, 0)) %>% print
##        zn indus chas    nox    rm rad tax  black medv target     sage
## 1     0.0 19.58    0 0.6050 7.929   5 403 369.30 50.0      1 2.190890
## 2     0.0 19.58    1 0.8710 5.403   5 403 396.90 13.4      1 1.000000
## 3     0.0 18.10    0 0.7400 6.485  24 666 386.73 15.4      1 1.000000
## 4    30.0  4.93    0 0.4280 6.393   6 300 374.71 23.7      0 9.654015
## 5     0.0  2.46    0 0.4880 7.155   3 193 394.12 37.9      0 2.966479
## 6     0.0  8.56    0 0.5200 6.781   5 384 395.58 26.5      0 5.449771
## 7     0.0 18.10    0 0.6930 5.453  24 666 396.90  5.0      1 1.000000
## 8     0.0 18.10    0 0.6930 4.519  24 666  88.27  7.0      1 1.000000
## 9     0.0  5.19    0 0.5150 6.316   5 224 389.71 22.2      0 7.930952
## 10   80.0  3.64    0 0.3920 5.876   1 315 395.18 20.9      0 9.049862
## 11   22.0  5.86    0 0.4310 6.438   7 330 377.07 24.8      0 9.596874
## 12    0.0 12.83    0 0.4370 6.286   5 398 383.23 21.4      0 7.483315
## 13    0.0 18.10    0 0.5320 7.061  24 666 395.28 25.0      1 4.898979
## 14   22.0  5.86    0 0.4310 8.259   7 330 396.90 42.8      1 9.622889
## 15    0.0  2.46    0 0.4880 6.153   3 193 387.11 29.6      0 5.674504
## 16    0.0  2.18    0 0.4580 6.430   3 222 394.12 28.7      0 6.503845
## 17  100.0  1.32    0 0.4110 6.816   5 256 392.90 31.6      0 7.778175
## 18   20.0  3.97    0 0.6470 5.560   5 264 392.40 22.8      1 6.180615
## 19    0.0 18.10    0 0.6790 5.896  24 666   7.68  8.3      1 2.366432
## 20    0.0 18.10    0 0.6710 6.545  24 666 396.90 10.9      1 1.378405
## 21    0.0  3.24    0 0.4600 6.144   4 430 368.57 19.8      0 8.294577
## 22    0.0  6.20    1 0.5070 6.726   8 307 360.20 29.0      1 5.873670
## 23    0.0  2.89    0 0.4450 7.416   2 276 396.90 33.2      0 6.204837
## 24   18.0  2.31    0 0.5380 6.575   1 296 396.90 24.0      0 5.983310
## 25    0.0  9.90    0 0.5440 6.382   4 304 395.21 23.1      1 5.813777
## 26   60.0  2.93    0 0.4010 6.604   1 265 376.70 29.1      0 9.066422
## 27    0.0  5.19    0 0.5150 5.985   5 224 396.90 19.0      0 7.456541
## 28    0.0 18.10    0 0.7000 5.390  24 666 396.90 11.5      1 1.449138
## 29   25.0  4.86    0 0.4260 6.167   4 281 390.64 22.9      0 7.368853
## 30   25.0  5.13    0 0.4530 6.456   8 284 396.90 22.2      0 5.761944
## 31    0.0  6.20    0 0.5040 5.981   8 307 378.35 24.3      1 5.735852
## 32    0.0  8.56    0 0.5200 6.474   5 384 395.24 19.8      0 1.974842
## 33    0.0  2.89    0 0.4450 7.820   2 276 393.53 43.8      0 8.006248
## 34    0.0 18.10    0 0.6790 6.380  24 666  60.72  9.5      1 2.323790
## 35    0.0  5.19    0 0.5150 6.059   5 224 396.14 20.6      0 7.981228
## 36   80.0  4.95    0 0.4110 6.630   4 245 396.90 27.9      0 8.809086
## 37    0.0  2.46    0 0.4880 7.831   3 193 392.63 50.0      0 6.884766
## 38    0.0 18.10    0 0.6140 6.185  24 666 379.70 14.6      1 2.073644
## 39    0.0  4.39    0 0.4420 5.898   3 352 364.61 17.2      0 6.978539
## 40    0.0 19.58    0 0.6050 6.402   5 403 330.04 22.3      1 2.408319
## 41    0.0  3.24    0 0.4600 5.868   4 430 382.44 19.3      0 8.671793
## 42    0.0 18.10    0 0.6710 6.649  24 666 363.02 13.9      1 2.774887
## 43    0.0  4.05    0 0.5100 5.859   5 296 393.23 22.6      0 5.683309
## 44   80.0  1.91    0 0.4130 5.663   4 334 382.80 18.2      0 8.893818
## 45   12.5  7.87    0 0.5240 6.009   5 311 396.90 18.9      0 4.254409
## 46    0.0  6.91    0 0.4480 6.030   3 233 392.74 16.6      0 3.937004
## 47    0.0 18.10    0 0.5830 6.312  24 666 388.62 21.2      1 7.007139
## 48    0.0  9.90    0 0.5440 5.782   4 304 396.90 19.8      0 5.412947
## 49    0.0 18.10    0 0.5320 6.229  24 666 395.33 19.6      1 3.209361
## 50    0.0  8.14    0 0.5380 6.674   4 307 380.23 21.0      1 3.701351
## 51   55.0  2.25    0 0.3890 6.453   1 300 394.72 22.0      0 8.312641
## 52   12.5  7.87    0 0.5240 6.004   5 311 386.71 18.9      0 3.885872
## 53    0.0  5.96    0 0.4990 5.933   5 279 396.90 18.9      0 5.727128
## 54    0.0  1.89    0 0.5180 6.540   1 422 389.96 16.5      0 6.426508
## 55    0.0 21.89    0 0.6240 5.693   4 437 392.11 16.2      1 2.236068
## 56    0.0 10.59    1 0.4890 5.344   4 277 396.90 20.0      1 1.000000
## 57   20.0  3.33    0 0.4429 7.820   5 216 387.31 45.4      0 6.041523
## 58   20.0  3.33    1 0.4429 7.645   5 216 377.07 46.0      0 7.162402
## 59    0.0  7.07    0 0.4690 6.421   2 242 396.90 21.6      0 4.701064
## 60    0.0 18.10    0 0.7000 5.000  24 666 396.90  7.4      1 3.391165
## 61    0.0 19.58    0 0.6050 5.877   5 403 227.61 23.8      1 4.669047
## 62    0.0  9.90    0 0.5440 4.973   4 304 350.45 16.1      1 7.949843
## 63    0.0 18.10    0 0.7400 6.459  24 666  43.06 11.8      1 2.489980
## 64   45.0  3.44    0 0.4370 6.782   5 398 393.87 32.0      0 7.739509
## 65   35.0  6.06    0 0.4379 5.706   1 304 394.02 17.1      0 8.520563
## 66    0.0  8.14    0 0.5380 5.949   4 307 396.90 20.4      1 6.260990
## 67    0.0 27.74    0 0.6090 5.414   4 711 344.05  7.0      0 1.643168
## 68    0.0 18.10    0 0.7180 6.411  24 666 318.75 16.7      1 1.000000
## 69    0.0  9.69    0 0.5850 5.390   6 391 396.90 19.7      1 5.300943
## 70    0.0  6.20    1 0.5070 6.631   8 307 388.45 25.1      1 4.949747
## 71    0.0 18.10    0 0.6310 6.216  24 666 366.15 50.0      1 1.000000
## 72    0.0  8.56    0 0.5200 6.167   5 384 392.69 20.1      0 3.316625
## 73    0.0 19.58    0 0.6050 5.875   5 403 292.29 17.4      1 2.529822
## 74    0.0 13.89    0 0.5500 6.642   5 276 392.78 28.7      0 3.987480
## 75    0.0 18.10    0 0.6140 5.304  24 666 349.48 12.0      1 1.923538
## 76    0.0 10.81    0 0.4130 6.245   4 305 377.17 23.4      0 9.736529
## 77    0.0 19.58    0 0.8710 5.597   5 403 351.85 15.4      1 2.469818
## 78    0.0 13.89    1 0.5500 5.888   5 276 392.80 23.3      0 6.708204
## 79    0.0  2.18    0 0.4580 6.998   3 222 394.63 33.4      0 7.429670
## 80    0.0  7.38    0 0.4930 6.376   5 287 396.90 23.1      0 6.833740
## 81    0.0 10.01    0 0.5470 5.913   6 432 394.95 18.8      0 2.846050
## 82    0.0 18.10    0 0.5320 6.242  24 666 396.90 23.0      1 6.024948
## 83    0.0 18.10    0 0.6930 6.471  24 666 391.98 13.1      1 1.483240
## 84   80.0  4.95    0 0.4110 6.861   4 245 396.90 28.5      0 8.549854
## 85   20.0  3.97    0 0.5750 8.297   5 264 384.54 50.0      1 5.830952
## 86   30.0  4.93    0 0.4280 6.481   6 300 379.41 23.7      0 9.082951
## 87    0.0 19.58    0 0.6050 6.943   5 403 363.43 41.3      1 1.897367
## 88    0.0 18.10    0 0.6710 6.794  24 666 396.90 13.3      1 1.483240
## 89    0.0 10.01    0 0.5470 6.176   6 432 393.30 21.2      0 5.338539
## 90   21.0  5.64    0 0.4390 5.963   4 243 395.56 19.7      0 7.436397
## 91   25.0  4.86    0 0.4260 6.727   4 281 396.90 28.0      0 8.215838
## 92   70.0  2.24    0 0.4000 7.041   5 358 371.58 29.0      0 9.539392
## 93    0.0 18.10    0 0.6790 6.782  24 666  21.57  7.5      1 3.193744
## 94    0.0  7.38    0 0.4930 6.083   5 287 396.90 22.2      0 7.569676
## 95   45.0  3.44    0 0.4370 6.951   5 398 377.68 37.0      0 8.916277
## 96    0.0 18.10    0 0.6140 6.229  24 666 383.32 21.4      1 3.605551
## 97   40.0  1.25    0 0.4290 6.490   1 335 396.90 22.9      0 7.523297
## 98    0.0 18.10    0 0.5970 4.628  24 666  28.79 17.9      1 1.000000
## 99    0.0 18.10    0 0.7400 6.461  24 666  27.49  9.6      1 2.774887
## 100   0.0  5.19    0 0.5150 6.037   5 224 396.90 21.1      0 8.154753
## 101   0.0  8.14    0 0.5380 5.713   4 307 360.17 12.7      1 2.626785
## 102   0.0 10.59    0 0.4890 6.326   4 277 394.87 24.4      0 6.964194
## 103   0.0 19.58    0 0.8710 5.709   5 403 261.95 19.4      1 1.581139
## 104  75.0  4.00    0 0.4100 5.888   3 469 396.90 18.9      0 7.307530
## 105   0.0 18.10    0 0.5970 5.155  24 666 210.97 16.3      1 1.000000
## 106   0.0 18.10    0 0.7700 6.251  24 666 350.65 19.9      1 3.146427
## 107   0.0 11.93    0 0.5730 6.794   1 273 393.45 22.0      0 3.420526
## 108  55.0  3.78    0 0.4840 6.874   5 370 387.97 31.2      0 8.538150
## 109   0.0 21.89    0 0.6240 6.454   4 437 394.08 17.1      1 1.612452
## 110   0.0  3.24    0 0.4600 6.333   4 430 375.21 22.6      0 9.154234
## 111   0.0  6.20    0 0.5040 8.725   8 307 382.00 50.0      1 4.242641
## 112  25.0  5.13    0 0.4530 6.145   8 284 390.68 23.3      0 8.473488
## 113   0.0  5.19    0 0.5150 5.869   5 224 396.90 19.5      0 7.395945
## 114  52.5  5.32    0 0.4050 6.209   6 293 396.90 23.2      0 8.348653
## 115   0.0  6.91    0 0.4480 5.682   3 233 396.90 19.3      0 8.197561
## 116  82.5  2.03    0 0.4150 6.162   2 348 393.77 24.1      0 7.912016
## 117   0.0 18.10    0 0.6550 5.952  24 666  22.01 19.0      1 4.037326
## 118   0.0  9.90    0 0.5440 5.972   4 304 396.24 20.3      1 4.929503
## 119   0.0 21.89    0 0.6240 5.757   4 437 262.76 15.6      1 1.612452
## 120   0.0  6.20    0 0.5070 6.618   8 307 396.90 30.1      1 4.494441
## 121   0.0  8.14    0 0.5380 5.990   4 307 386.75 17.5      1 4.393177
## 122   0.0  6.91    0 0.4480 6.169   3 233 383.37 25.3      0 9.715966
## 123   0.0  6.20    0 0.5040 7.412   8 307 376.14 31.7      1 4.909175
## 124   0.0 18.10    0 0.6590 5.608  24 666 332.09 27.9      1 1.000000
## 125  20.0  3.97    0 0.6470 8.398   5 264 386.86 48.8      1 3.082207
## 126   0.0 10.01    0 0.5470 6.715   6 432 395.59 22.8      0 4.404543
## 127   0.0 18.10    0 0.6680 4.138  24 666 396.90 13.8      1 1.000000
## 128   0.0  5.19    0 0.5150 5.968   5 224 396.90 18.7      0 6.519202
## 129   0.0  8.56    0 0.5200 5.836   5 384 395.67 19.5      0 3.016621
## 130   0.0 13.92    0 0.4370 6.549   4 289 392.85 27.1      0 7.071068
## 131   0.0 18.10    0 0.6710 6.968  24 666 396.90 10.4      1 3.016621
## 132   0.0 18.10    1 0.7700 5.803  24 666 353.04 16.8      1 3.464102
## 133  25.0  4.86    0 0.4260 6.302   4 281 396.90 24.8      0 8.294577
## 134   0.0 18.10    0 0.5800 5.713  24 666 396.90 20.1      1 6.655825
## 135  90.0  1.21    1 0.4010 7.923   1 198 395.52 50.0      0 8.729261
## 136   0.0  2.89    0 0.4450 6.625   2 276 357.98 28.4      0 6.572671
## 137  12.5  7.87    0 0.5240 5.631   5 311 386.63 16.5      0 1.000000
## 138   0.0  8.14    0 0.5380 5.935   4 307 386.85 23.1      1 8.467585
## 139   0.0 21.89    0 0.6240 6.174   4 437 388.08 14.0      1 2.720294
## 140  30.0  4.93    0 0.4280 6.606   6 300 383.78 23.3      0 7.668116
## 141   0.0  6.91    0 0.4480 6.069   3 233 389.39 21.2      0 7.810250
## 142   0.0  5.96    0 0.4990 5.841   5 279 377.56 20.0      0 6.292853
## 143   0.0 19.58    1 0.6050 8.375   5 403 388.45 50.0      1 2.664583
## 144   0.0 21.89    0 0.6240 6.335   4 437 394.67 18.1      1 1.673320
## 145   0.0  9.69    0 0.5850 5.569   6 391 395.77 17.5      0 5.244044
## 146   0.0  6.20    0 0.5040 8.266   8 307 385.05 44.8      1 4.764452
## 147   0.0 21.89    0 0.6240 5.019   4 437 396.90 14.4      1 1.000000
## 148   0.0  6.20    0 0.5040 7.163   8 307 372.08 31.6      1 4.593474
## 149   0.0 18.10    0 0.7000 5.277  24 666 396.90  7.2      1 1.702939
## 150  12.5  6.07    0 0.4090 5.885   4 345 396.90 20.9      0 8.246211
## 151   0.0 18.10    0 0.7400 6.629  24 666 109.85 13.4      1 2.529822
## 152  34.0  6.09    0 0.4330 6.495   7 329 383.61 26.4      0 9.088454
## 153   0.0 10.59    1 0.4890 5.807   4 277 390.94 22.4      0 6.870226
## 154   0.0 27.74    0 0.6090 5.093   4 711 318.43  8.1      0 1.732051
## 155   0.0 19.58    0 0.6050 6.319   5 403 297.09 23.8      1 2.213594
## 156  40.0  6.41    1 0.4470 6.758   4 254 396.90 32.4      0 8.252272
## 157   0.0 18.10    0 0.7180 6.824  24 666  48.45  8.4      1 4.949747
## 158  82.5  2.03    0 0.4150 7.610   2 348 395.38 42.3      0 9.235800
## 159   0.0  8.56    0 0.5200 6.405   5 384  70.80 18.6      0 3.949684
## 160   0.0 19.58    1 0.6050 7.802   5 403 389.61 50.0      1 1.673320
## 161   0.0 18.10    0 0.5840 6.162  24 666 302.76 13.3      1 1.897367
## 162   0.0  6.20    0 0.5040 8.040   8 307 387.38 37.6      1 3.807887
## 163  20.0  3.33    0 0.4429 6.968   5 216 392.23 35.4      0 7.987490
## 164  80.0  3.37    0 0.3980 5.787   4 337 396.90 19.4      0 8.360622
## 165   0.0  4.05    0 0.5100 5.572   5 296 396.90 23.1      0 3.535534
## 166  22.0  5.86    0 0.4310 6.718   7 330 393.74 26.2      0 9.137833
## 167  52.5  5.32    0 0.4050 6.315   6 293 396.90 22.3      0 7.443118
## 168   0.0 18.10    0 0.6930 5.747  24 666 393.10  8.5      1 1.449138
## 169   0.0 18.10    0 0.6790 5.304  24 666 127.36 10.4      1 3.449638
## 170   0.0 18.10    1 0.7700 6.395  24 666 391.34 21.7      1 3.162278
## 171  75.0  2.95    0 0.4280 6.595   3 252 395.63 30.8      0 8.899438
## 172   0.0 19.58    0 0.8710 5.272   5 403  88.63 13.1      1 2.645751
## 173   0.0  8.14    0 0.5380 5.834   4 307 395.62 19.9      1 6.670832
## 174  28.0 15.04    0 0.4640 6.211   4 270 396.33 25.0      0 8.491172
## 175  20.0  3.97    0 0.6470 7.327   5 264 393.42 31.0      1 2.549510
## 176   0.0 18.10    0 0.5840 5.837  24 666  24.65 10.2      1 6.426508
## 177   0.0 18.10    0 0.7180 4.963  24 666 316.03 21.9      1 3.098387
## 178   0.0 12.83    0 0.4370 5.874   5 398 396.06 20.3      0 8.024961
## 179   0.0 18.10    0 0.7000 4.368  24 666 285.83  8.8      1 3.130495
## 180  20.0  3.97    0 0.6470 7.014   5 264 384.07 30.7      1 4.049691
## 181   0.0  3.41    0 0.4890 7.079   2 270 396.06 28.7      0 6.156298
## 182  30.0  4.93    0 0.4280 6.358   6 300 372.75 22.2      0 6.935416
## 183   0.0 18.10    0 0.7000 6.051  24 666 378.38 23.2      1 4.301163
## 184  90.0  1.22    0 0.4030 7.249   5 226 395.93 35.4      0 8.893818
## 185   0.0  2.46    0 0.4880 5.604   3 193 391.00 26.4      0 3.346640
## 186   0.0  8.56    0 0.5200 6.727   5 384 394.76 27.5      0 4.593474
## 187  90.0  3.75    0 0.3940 7.454   3 244 386.34 44.0      0 8.173127
## 188   0.0 18.10    0 0.7130 6.297  24 666 385.09 16.1      1 3.033150
## 189   0.0 18.10    1 0.7180 8.780  24 666 354.55 21.9      1 4.254409
## 190   0.0 18.10    0 0.5320 6.750  24 666 393.07 23.7      1 5.108816
## 191  55.0  3.78    0 0.4840 6.696   5 370 396.90 23.9      0 6.678323
## 192   0.0  7.38    0 0.4930 6.431   5 287 393.68 24.6      0 9.289779
## 193  20.0  6.96    0 0.4640 6.240   3 223 396.90 25.2      0 9.203260
## 194   0.0 18.10    0 0.7400 6.152  24 666   9.32  8.7      1 1.000000
## 195   0.0 19.58    1 0.8710 5.012   5 403 343.28 15.3      1 3.605551
## 196   0.0  6.91    0 0.4480 6.211   3 233 394.46 24.7      0 9.721111
## 197   0.0 11.93    0 0.5730 6.593   1 273 391.99 22.4      0 5.648008
## 198   0.0 18.10    0 0.7400 6.251  24 666 388.52 12.6      1 2.097618
## 199   0.0 18.10    0 0.5970 6.657  24 666  35.05 17.2      1 1.000000
## 200  20.0  3.97    0 0.6470 7.206   5 264 387.89 36.5      1 3.065942
## 201  80.0  3.37    0 0.3980 6.290   4 337 396.90 23.5      0 9.121403
## 202   0.0 19.58    0 0.8710 5.186   5 403 356.99 17.8      1 2.683282
## 203   0.0 18.10    0 0.6790 5.957  24 666  16.45  8.8      1 1.000000
## 204   0.0 21.89    0 0.6240 6.151   4 437 396.90 17.8      1 1.760682
## 205  25.0  5.13    0 0.4530 6.762   8 284 395.58 25.0      0 7.589466
## 206   0.0  8.14    0 0.5380 5.813   4 307 394.54 14.5      1 1.000000
## 207  70.0  2.24    0 0.4000 6.345   5 358 368.24 22.5      0 8.994443
## 208  20.0  6.96    1 0.4640 7.691   3 223 390.77 35.2      0 7.014271
## 209  22.0  5.86    0 0.4310 6.226   7 330 376.14 20.5      0 4.669047
## 210   0.0 13.89    1 0.5500 5.951   5 276 396.90 21.5      0 2.683282
## 211   0.0 18.10    0 0.6710 6.380  24 666 396.90 13.1      1 2.190890
## 212   0.0  9.69    0 0.5850 5.707   6 391 396.90 21.8      0 6.855655
## 213   0.0 21.89    0 0.6240 5.942   4 437 378.25 17.4      1 2.738613
## 214   0.0 25.65    0 0.5810 5.879   2 188 379.38 18.8      0 2.280351
## 215   0.0 18.10    0 0.7000 4.880  24 666 372.92 10.2      1 1.000000
## 216   0.0  5.19    0 0.5150 6.310   5 224 389.40 20.7      0 7.905694
## 217   0.0 18.10    0 0.5840 6.003  24 666 331.29 19.1      1 2.549510
## 218  20.0  3.97    0 0.5750 7.470   5 264 390.30 43.5      1 6.957011
## 219   0.0 18.10    0 0.6140 6.484  24 666 396.21 16.7      1 2.720294
## 220  12.5  6.07    0 0.4090 5.878   4 345 396.21 22.0      0 8.921883
## 221  20.0  3.97    0 0.6470 7.333   5 264 383.29 36.0      1 1.000000
## 222   0.0  9.90    0 0.5440 6.023   4 304 396.30 19.4      1 3.255764
## 223  35.0  1.52    0 0.4420 7.241   1 284 394.74 32.7      0 7.190271
## 224  20.0  3.97    0 0.6470 8.704   5 264 389.70 50.0      1 3.754997
## 225   0.0  6.20    0 0.5070 7.358   8 307 390.07 31.5      1 5.422177
## 226   0.0 13.92    0 0.4370 5.790   4 289 396.90 20.3      0 6.557439
## 227   0.0 27.74    0 0.6090 5.454   4 711 395.09 15.2      0 2.880972
## 228   0.0  6.20    0 0.5070 8.337   8 307 385.91 41.7      1 5.263079
## 229   0.0  8.14    0 0.5380 6.072   4 307 376.73 14.5      1 1.000000
## 230   0.0 18.10    0 0.7130 6.317  24 666 396.90 19.5      1 4.242641
## 231   0.0 18.10    0 0.6550 5.759  24 666 334.40 19.9      1 7.266361
## 232   0.0 18.10    0 0.7130 7.393  24 666 375.87 17.8      1 1.303840
## 233   0.0  7.38    0 0.4930 5.708   5 287 391.13 18.5      1 5.167204
## 234   0.0 18.10    0 0.5830 6.114  24 666 392.68 19.1      1 4.604346
## 235   0.0 13.89    1 0.5500 6.373   5 276 393.74 23.0      0 2.932576
## 236  95.0  1.47    0 0.4030 7.135   3 402 384.30 32.9      0 9.332738
## 237  80.0  1.91    0 0.4130 5.936   4 334 376.04 20.6      0 9.027735
## 238  34.0  6.09    0 0.4330 6.982   7 329 390.43 33.1      0 9.126883
## 239   0.0  4.05    0 0.5100 6.020   5 296 393.23 23.2      0 7.334848
## 240   0.0 21.89    0 0.6240 5.857   4 437 392.04 13.3      0 1.673320
## 241   0.0 18.10    0 0.7400 6.406  24 666 385.96 17.1      1 1.949359
## 242   0.0  9.90    0 0.5440 5.914   4 304 390.70 17.8      1 4.219005
## 243   0.0 19.58    0 0.8710 5.628   5 403 169.27 15.6      1 1.000000
## 244   0.0 18.10    0 0.7130 6.436  24 666 100.19 14.3      1 3.619392
## 245  40.0  6.41    0 0.4470 6.482   4 254 396.90 29.1      0 8.300602
## 246   0.0 25.65    0 0.5810 5.870   2 188 389.15 22.0      0 5.594640
## 247   0.0 18.10    0 0.7180 6.006  24 666 319.98 14.2      1 2.387467
## 248   0.0 19.58    0 0.8710 4.926   5 403 391.71 14.6      1 2.302173
## 249   0.0  8.56    0 0.5200 6.229   5 384 391.23 19.4      1 3.130495
## 250   0.0 10.81    0 0.4130 5.961   4 305 376.94 21.7      0 9.137833
## 251  20.0  3.33    0 0.4429 6.812   5 216 396.90 35.1      0 8.294577
## 252   0.0  2.46    0 0.4880 6.563   3 193 396.90 32.5      0 2.323790
## 253   0.0 18.10    0 0.7700 6.112  24 666 390.74 22.6      1 4.438468
## 254  95.0  1.47    0 0.4030 6.975   3 402 396.90 34.9      0 9.257429
## 255  20.0  3.97    0 0.6470 7.203   5 264 392.80 33.8      1 4.381780
## 256   0.0 18.10    0 0.6930 5.987  24 666 396.90  5.6      1 1.000000
## 257   0.0 25.65    0 0.5810 6.004   2 188 377.67 20.3      0 4.110961
## 258   0.0  2.89    0 0.4450 8.069   2 276 396.90 38.7      0 5.000000
## 259  12.5  6.07    0 0.4090 5.594   4 345 396.90 17.4      0 8.012490
## 260   0.0 19.58    0 0.8710 4.903   5 403 396.90 11.8      1 1.788854
## 261  40.0  6.41    1 0.4470 6.826   4 254 393.45 33.1      0 8.567380
## 262  22.0  5.86    0 0.4310 6.487   7 330 396.28 24.4      0 9.380832
## 263   0.0  9.69    0 0.5850 5.926   6 391 396.90 24.5      1 7.641989
## 264   0.0 10.01    0 0.5470 5.928   6 432 344.91 18.3      0 3.577709
## 265   0.0 19.58    0 0.8710 6.130   5 403 172.91 13.8      1 1.000000
## 266   0.0  3.41    0 0.4890 7.007   2 270 396.90 23.6      0 3.834058
## 267   0.0 19.58    0 0.8710 6.122   5 403 372.80 21.5      1 1.923538
## 268   0.0 19.58    0 0.8710 5.468   5 403 396.90 15.6      1 1.000000
## 269   0.0 18.10    0 0.7700 6.398  24 666 374.56 25.0      1 3.605551
## 270   0.0 11.93    0 0.5730 6.030   1 273 396.90 11.9      0 4.494441
## 271   0.0 18.10    0 0.7130 6.417  24 666 304.21 13.0      1 1.643168
## 272   0.0 18.10    0 0.6590 4.138  24 666 370.22 11.9      1 1.000000
## 273   0.0 21.89    0 0.6240 5.822   4 437 388.69 18.4      1 2.366432
## 274   0.0  4.05    0 0.5100 6.546   5 296 390.96 29.4      0 8.240146
## 275   0.0 25.65    0 0.5810 5.986   2 188 385.02 21.4      0 3.549648
## 276   0.0 18.10    0 0.7130 6.513  24 666 393.82 20.2      1 3.331666
## 277   0.0 18.10    0 0.7130 5.976  24 666  10.48 12.7      1 3.619392
## 278   0.0  8.14    0 0.5380 5.813   4 307 376.88 16.6      1 3.271085
## 279   0.0 18.10    0 0.6790 6.202  24 666  18.82 10.9      1 4.722288
## 280  22.0  5.86    0 0.4310 6.108   7 330 390.18 24.3      1 8.130191
## 281  60.0  1.69    0 0.4110 6.579   4 411 370.78 24.1      0 8.068457
## 282  12.5  7.87    0 0.5240 5.889   5 311 390.50 21.7      0 7.874008
## 283   0.0 21.89    0 0.6240 6.326   4 437 396.90 19.6      1 1.816590
## 284   0.0 18.10    0 0.7130 6.301  24 666 272.21 14.9      1 4.159327
## 285   0.0 10.81    0 0.4130 6.065   4 305 390.91 22.8      0 9.654015
## 286   0.0 18.10    0 0.5970 5.757  24 666   2.60 15.0      1 1.000000
## 287   0.0  9.90    0 0.5440 6.266   4 304 393.39 21.6      1 4.266146
## 288   0.0 10.01    0 0.5470 6.254   6 432 388.74 18.5      0 4.098780
## 289   0.0 18.10    0 0.7000 5.536  24 666 396.90 11.3      1 1.000000
## 290   0.0 18.10    0 0.6930 6.405  24 666 396.90 12.5      1 2.236068
## 291   0.0 19.58    0 0.6050 5.854   5 403 395.11 22.7      1 3.033150
## 292   0.0  8.14    0 0.5380 5.727   4 307 390.95 18.2      1 5.612486
## 293   0.0  6.20    1 0.5070 6.951   8 307 391.70 26.7      1 3.535534
## 294   0.0  4.49    0 0.4490 6.015   3 247 395.99 22.5      0 7.476630
## 295   0.0 27.74    0 0.6090 5.983   4 711 396.90 20.1      0 4.183300
## 296   0.0 18.10    1 0.7700 6.212  24 666 377.73 17.8      1 1.897367
## 297   0.0  7.38    0 0.4930 6.041   5 287 396.90 20.4      1 7.148426
## 298   0.0 18.10    0 0.6310 4.970  24 666 375.52 50.0      1 1.000000
## 299  40.0  6.41    1 0.4470 7.267   4 254 389.25 33.2      0 7.211103
## 300   0.0  6.91    0 0.4480 6.770   3 233 385.41 26.6      0 9.904544
## 301  40.0  6.41    0 0.4470 6.854   4 254 396.90 32.0      0 7.628892
## 302   0.0 10.59    0 0.4890 6.182   4 277 393.63 25.0      0 7.655064
## 303   0.0 10.59    1 0.4890 6.064   4 277 381.32 24.4      0 6.473021
## 304   0.0  9.69    0 0.5850 5.670   6 391 393.29 23.1      0 8.497058
## 305   0.0  9.90    0 0.5440 6.635   4 304 396.90 22.8      1 4.301163
## 306  33.0  2.18    0 0.4720 7.236   7 222 393.68 36.1      0 7.739509
## 307   0.0 21.89    0 0.6240 6.431   4 437 396.90 18.0      1 1.483240
## 308   0.0 18.10    0 0.7130 6.081  24 666 396.90 20.0      1 4.074310
## 309  30.0  4.93    0 0.4280 6.897   6 300 391.25 22.0      0 6.833740
## 310  20.0  6.96    0 0.4640 6.538   3 223 394.96 24.4      0 6.503845
## 311   0.0 10.59    0 0.4890 5.891   4 277 396.90 22.6      0 8.871302
## 312   0.0 18.10    0 0.6930 6.193  24 666 396.90 13.8      1 2.898275
## 313   0.0  4.05    0 0.5100 6.315   5 296 395.60 24.6      0 5.253570
## 314   0.0  4.49    0 0.4490 6.389   3 247 396.90 23.9      0 7.280110
## 315   0.0 21.89    0 0.6240 6.372   4 437 385.76 23.0      1 1.760682
## 316   0.0 10.01    0 0.5470 6.021   6 432 394.51 19.2      0 4.289522
## 317  40.0  1.25    0 0.4290 6.939   1 335 389.85 26.6      0 8.154753
## 318   0.0  2.46    0 0.4880 6.144   3 193 396.90 36.2      0 6.228965
## 319   0.0  7.38    0 0.4930 6.426   5 287 396.90 23.8      0 6.978539
## 320   0.0 18.10    0 0.6930 6.343  24 666 396.90  7.2      1 1.000000
## 321   0.0  6.20    1 0.5070 6.879   8 307 390.39 27.5      1 4.827007
## 322  20.0  3.97    0 0.6470 7.520   5 264 388.37 43.1      1 3.405877
## 323   0.0 18.10    0 0.5970 6.852  24 666 179.36 27.5      1 1.000000
## 324  30.0  4.93    0 0.4280 6.095   6 300 394.62 20.1      0 5.991661
## 325   0.0  9.90    0 0.5440 6.113   4 304 396.23 21.0      1 6.496153
## 326   0.0 13.92    0 0.4370 6.127   4 289 396.90 23.9      0 9.088454
## 327  75.0  2.95    0 0.4280 7.024   3 252 395.62 34.9      0 9.230385
## 328  80.0  1.52    0 0.4040 7.107   2 329 354.31 30.3      0 8.024961
## 329   0.0  8.14    0 0.5380 6.096   4 307 248.31 13.5      1 2.024846
## 330  22.0  5.86    0 0.4310 5.605   7 330 389.13 18.5      0 5.549775
## 331   0.0 18.10    0 0.7130 6.749  24 666   0.32 13.4      1 2.898275
## 332  12.5  7.87    0 0.5240 6.377   5 311 392.52 15.0      0 2.588436
## 333   0.0  8.14    0 0.5380 6.142   4 307 396.90 15.2      1 3.049590
## 334  35.0  6.06    0 0.4379 6.031   1 304 362.25 19.4      0 8.814760
## 335   0.0 18.10    0 0.6930 5.349  24 666 396.90  8.3      1 2.236068
## 336   0.0 18.10    0 0.5800 6.437  24 666 393.37 23.2      1 5.099020
## 337  80.0  3.64    0 0.3920 6.108   1 315 392.89 21.9      0 8.306624
## 338  20.0  6.96    0 0.4640 5.856   3 223 388.65 21.1      1 7.674634
## 339   0.0 12.83    0 0.4370 6.140   5 398 386.96 20.8      0 7.429670
## 340   0.0  9.90    0 0.5440 6.567   4 304 395.69 23.8      1 3.701351
## 341   0.0 19.58    0 0.8710 6.510   5 403 364.31 23.3      1 1.000000
## 342   0.0  2.46    0 0.4880 7.765   3 193 395.56 39.8      0 4.207137
## 343  80.0  0.46    0 0.4220 7.875   4 255 394.23 50.0      0 8.306624
## 344   0.0 18.10    0 0.6310 3.863  24 666 131.42 23.1      1 1.000000
## 345  21.0  5.64    0 0.4390 6.511   4 243 396.90 25.0      0 8.938680
## 346   0.0  8.14    0 0.5380 5.599   4 307 303.42 13.9      1 3.911521
## 347   0.0 18.10    0 0.6930 5.683  24 666 384.97  5.0      1 1.000000
## 348   0.0  2.18    0 0.4580 7.147   3 222 396.90 36.2      0 6.841053
## 349  21.0  5.64    0 0.4390 6.115   4 243 393.97 20.5      0 6.164414
## 350  20.0  6.96    1 0.4640 5.920   3 223 391.34 20.7      0 6.284903
## 351  95.0  2.68    0 0.4161 7.853   4 224 392.78 48.5      0 8.234076
## 352  12.5  7.87    0 0.5240 6.012   5 311 395.60 22.9      0 5.865151
## 353   0.0 25.65    0 0.5810 5.961   2 188 378.09 20.5      0 2.846050
## 354   0.0 10.59    1 0.4890 5.404   4 277 395.24 19.3      1 3.521363
## 355   0.0  8.56    0 0.5200 6.137   5 384 394.47 19.3      0 3.687818
## 356  33.0  2.18    0 0.4720 6.849   7 222 396.90 28.2      0 5.540758
## 357   0.0 10.01    0 0.5470 5.731   6 432 391.50 19.3      0 5.983310
## 358  20.0  3.97    0 0.6470 6.842   5 264 391.93 30.1      1 1.000000
## 359   0.0 18.10    0 0.5840 5.427  24 666 352.58 13.8      1 2.366432
## 360  28.0 15.04    0 0.4640 6.249   4 270 396.90 20.6      0 4.868265
## 361   0.0  6.91    0 0.4480 5.399   3 233 396.90 14.4      0 2.387467
## 362  85.0  4.15    0 0.4290 6.516   4 351 392.43 23.1      0 8.561542
## 363   0.0  8.56    0 0.5200 6.127   5 384 387.69 20.4      0 3.974921
## 364   0.0  3.41    0 0.4890 6.405   2 270 393.55 22.0      0 5.205766
## 365   0.0 18.10    0 0.7700 5.362  24 666 380.79 20.8      1 2.190890
## 366   0.0 10.59    0 0.4890 5.783   4 277 389.43 22.5      0 5.319774
## 367   0.0  9.69    0 0.5850 6.027   6 391 396.90 16.8      0 4.615192
## 368   0.0 18.10    0 0.6790 6.434  24 666  27.25  7.2      1 1.000000
## 369   0.0 21.89    0 0.6240 6.458   4 437 395.04 19.2      1 1.449138
## 370   0.0 10.01    0 0.5470 5.872   6 432 338.63 20.4      0 5.282045
## 371   0.0 18.10    0 0.6140 6.103  24 666   2.52 13.4      1 3.987480
## 372  21.0  5.64    0 0.4390 5.998   4 243 396.90 23.4      0 8.921883
## 373   0.0 18.10    0 0.6140 5.648  24 666 291.55 20.8      1 3.660601
## 374  22.0  5.86    0 0.4310 5.593   7 330 372.49 17.6      0 4.949747
## 375   0.0 18.10    0 0.7000 5.520  24 666 396.90 12.3      1 1.000000
## 376   0.0 18.10    0 0.7130 6.728  24 666   6.68 14.9      1 2.626785
## 377   0.0 18.10    0 0.7000 5.713  24 666 394.43 15.1      1 2.000000
## 378  52.5  5.32    0 0.4050 6.565   6 293 371.72 24.8      0 8.837420
## 379   0.0 18.10    0 0.7000 4.652  24 666 396.90 10.5      1 1.000000
## 380  34.0  6.09    0 0.4330 6.590   7 329 395.75 22.0      0 7.784600
## 381   0.0 10.59    0 0.4890 6.375   4 277 385.81 28.1      0 8.288546
## 382   0.0  6.20    0 0.5040 7.686   8 307 377.51 46.7      1 9.165151
## 383   0.0 12.83    0 0.4370 6.279   5 398 373.66 20.0      0 5.147815
## 384   0.0 18.10    0 0.6930 5.887  24 666 396.90 12.7      1 2.509980
## 385   0.0 18.10    0 0.6710 6.223  24 666 393.74 10.2      1 1.000000
## 386   0.0 18.10    1 0.7700 6.127  24 666 395.43 22.7      1 4.195235
## 387   0.0 18.10    0 0.5800 6.167  24 666 396.90 19.9      1 4.123106
## 388   0.0 27.74    0 0.6090 5.983   4 711 390.11 13.6      0 1.483240
## 389   0.0  4.39    0 0.4420 6.014   3 352 385.64 17.5      0 7.245688
## 390   0.0  6.20    1 0.5070 6.164   8 307 395.24 21.7      1 3.114482
## 391   0.0 10.81    0 0.4130 6.417   4 305 383.73 24.2      0 9.715966
## 392   0.0  4.05    0 0.5100 6.860   5 296 391.27 29.9      0 5.157519
## 393   0.0 18.10    0 0.7130 6.185  24 666 396.90 14.1      1 1.516575
## 394   0.0  6.91    0 0.4480 5.602   3 233 396.90 19.4      0 6.244998
## 395   0.0 18.10    1 0.6310 6.683  24 666 375.33 50.0      1 2.049390
## 396  90.0  2.02    0 0.4100 6.728   5 187 384.46 30.1      0 8.056054
## 397   0.0 13.92    0 0.4370 6.009   4 289 396.90 21.7      0 7.661593
## 398   0.0 18.10    0 0.6930 6.404  24 666 376.11 12.1      1 1.000000
## 399   0.0 18.10    0 0.5830 5.905  24 666 388.22 20.6      1 6.913754
## 400   0.0 19.58    1 0.8710 6.152   5 403  88.01 15.6      1 4.289522
## 401   0.0 18.10    0 0.5800 5.926  24 666 368.74 19.1      1 5.477226
## 402  45.0  3.44    0 0.4370 6.739   5 398 389.71 30.5      0 8.378544
## 403   0.0 18.10    0 0.5830 5.871  24 666 370.73 20.6      1 7.687652
## 404   0.0 12.83    0 0.4370 6.273   5 398 394.92 24.1      0 9.746794
## 405   0.0 18.10    0 0.5840 6.833  24 666  81.33 14.1      1 2.588436
## 406   0.0  4.05    0 0.5100 6.416   5 296 395.50 23.6      0 4.110961
## 407  45.0  3.44    0 0.4370 7.178   5 398 390.49 36.4      0 8.642916
## 408  85.0  0.74    0 0.4100 6.383   2 313 396.90 24.7      0 8.080842
## 409   0.0 18.10    0 0.5840 5.565  24 666   3.65 11.7      1 5.513620
## 410   0.0  8.56    0 0.5200 6.195   5 384 393.49 21.7      0 6.826419
## 411   0.0  9.90    0 0.5440 5.705   4 304 396.42 16.2      0 4.827007
## 412   0.0  6.91    0 0.4480 5.786   3 233 396.90 20.0      0 8.228001
## 413  22.0  5.86    0 0.4310 6.433   7 330 374.71 24.5      0 7.204165
## 414   0.0 11.93    0 0.5730 6.120   1 273 396.90 20.6      0 4.929503
## 415   0.0  8.56    0 0.5200 5.851   5 384 394.05 19.5      0 2.073644
## 416  70.0  2.24    0 0.4000 6.871   5 358 390.86 24.8      0 7.321202
## 417  28.0 15.04    0 0.4640 6.442   4 270 395.01 22.9      0 6.884766
## 418   0.0 10.01    0 0.5470 6.092   6 432 396.90 18.7      0 2.366432
## 419   0.0 19.58    0 0.6050 6.066   5 403 353.89 24.3      1 1.000000
## 420   0.0  2.46    0 0.4880 6.980   3 193 396.90 37.2      0 6.526868
## 421  60.0  1.69    0 0.4110 5.884   4 411 392.33 18.6      0 9.082951
## 422   0.0 19.58    1 0.6050 6.250   5 403 338.92 27.0      1 2.898275
## 423   0.0 19.58    0 0.6050 7.489   5 403 374.43 50.0      1 3.193744
## 424   0.0  8.14    0 0.5380 5.570   4 307 376.57 13.6      1 1.702939
## 425   0.0  8.14    0 0.5380 5.701   4 307 358.77 13.1      1 2.449490
## 426  25.0  5.13    0 0.4530 5.927   8 284 396.90 19.6      0 7.334848
## 427   0.0 19.58    0 0.8710 5.404   5 403 341.60 19.6      1 1.000000
## 428   0.0 19.58    1 0.8710 6.129   5 403 321.02 17.0      1 2.236068
## 429   0.0 18.10    0 0.6710 7.313  24 666 396.90 15.0      1 1.760682
## 430   0.0 18.10    0 0.7130 6.655  24 666 355.29 15.2      1 1.673320
## 431  17.5  1.38    0 0.4161 7.104   3 216 393.24 33.0      0 6.442049
## 432  80.0  1.52    0 0.4040 7.287   2 329 396.90 33.3      0 8.179242
## 433   0.0  9.69    0 0.5850 6.019   6 391 396.90 21.2      0 5.974948
## 434   0.0  5.96    0 0.4990 5.966   5 279 393.43 24.7      0 8.414274
## 435  45.0  3.44    0 0.4370 7.185   5 398 396.90 34.9      0 7.880355
## 436   0.0  8.14    0 0.5380 6.047   4 307 306.38 14.8      1 3.492850
## 437  45.0  3.44    0 0.4370 6.556   5 398 382.84 29.8      0 8.479387
## 438   0.0 18.10    0 0.6930 5.852  24 666 338.16  6.3      1 4.816638
## 439  95.0  2.68    0 0.4161 8.034   4 224 390.55 50.0      0 8.312641
## 440   0.0  8.14    0 0.5380 5.456   4 307 288.99 20.2      1 8.024961
## 441   0.0 13.92    0 0.4370 6.678   4 289 396.90 28.6      0 8.360622
## 442   0.0 18.10    0 0.7130 6.701  24 666 255.23 16.4      1 3.316625
## 443   0.0 18.10    0 0.5320 5.762  24 666 392.92 21.8      1 7.791020
## 444  80.0  1.52    0 0.4040 7.274   2 329 392.20 34.6      0 7.918333
## 445   0.0  3.41    0 0.4890 6.417   2 270 392.18 22.6      0 5.907622
## 446  80.0  4.95    0 0.4110 7.148   4 245 396.90 37.3      0 8.561542
## 447   0.0 18.10    0 0.5970 5.617  24 666 314.64 17.2      1 1.760682
## 448  60.0  2.93    0 0.4010 6.800   1 265 393.37 31.1      0 9.544632
## 449   0.0 18.10    0 0.7400 6.341  24 666 318.01 14.9      1 2.144761
## 450   0.0 18.10    0 0.6140 6.980  24 666 374.68 29.8      1 5.779273
## 451   0.0 18.10    0 0.6680 4.906  24 666 396.90 13.8      1 1.000000
## 452   0.0  8.14    0 0.5380 5.965   4 307 392.53 19.6      1 3.435113
## 453  33.0  2.18    0 0.4720 7.420   7 222 396.90 33.4      0 5.394442
## 454   0.0 18.10    0 0.6930 5.531  24 666 329.46  8.5      1 3.949684
## 455   0.0  8.14    0 0.5380 5.924   4 307 394.33 15.6      1 2.626785
## 456  25.0  4.86    0 0.4260 6.619   4 281 395.63 23.9      0 5.531727
## 457   0.0 10.59    0 0.4890 5.412   4 277 348.93 23.7      1 9.549869
## 458  12.5  7.87    0 0.5240 6.172   5 311 396.90 27.1      0 2.213594
## 459   0.0 18.10    1 0.6680 5.875  24 666 347.88 50.0      1 3.376389
## 460   0.0  6.20    0 0.5070 6.086   8 307 376.75 24.0      1 6.284903
## 461   0.0 18.10    0 0.7130 5.936  24 666   3.50 13.5      1 4.549725
## 462   0.0 18.10    0 0.7130 6.208  24 666 100.63 11.7      1 2.449490
## 463   0.0 18.10    0 0.6790 6.193  24 666  96.73 11.0      1 4.785394
## 464   0.0 18.10    0 0.5840 6.425  24 666  97.95 16.1      1 5.118594
## 465   0.0 12.83    0 0.4370 6.232   5 398 386.40 21.2      0 6.877500
## 466   0.0 18.10    0 0.7000 5.036  24 666 396.90  9.7      1 2.000000
##      lptratio      ldis   clstat scored_target
## 1   2.1162555 0.7158378 1.546680             1
## 2   2.1162555 0.2788431 2.993318             1
## 3   1.0296194 0.6822884 2.661361             1
## 4   1.8562980 1.9509688 1.731367             0
## 5   1.6486586 0.9934740 1.689205             0
## 6   0.7419373 1.0494571 1.972113             0
## 7   1.0296194 0.3985076 3.127470             1
## 8   1.0296194 0.5057327 3.331621             1
## 9   1.0296194 1.8653816 1.784224             1
## 10  1.8870696 2.2214076 2.099168             0
## 11  1.3609766 2.0010340 1.531198             0
## 12  1.4586150 1.5046550 2.075451             0
## 13  1.0296194 1.2268882 1.913842             1
## 14  1.3609766 2.1868038 1.524057             0
## 15  1.6486586 1.1877520 2.360344             0
## 16  1.4586150 1.8020728 1.733588             0
## 17  2.0668628 2.1192390 1.580759             0
## 18  2.3025851 0.6863743 2.186278             1
## 19  1.0296194 0.6468938 2.900040             1
## 20  1.0296194 0.4181839 2.762423             1
## 21  1.8082888 1.7704677 2.086994             0
## 22  1.7227666 1.2952476 2.004158             1
## 23  1.6094379 1.2513906 1.836102             0
## 24  2.0412203 1.4085450 1.707693             0
## 25  1.5260563 1.2620058 2.179984             0
## 26  2.0014800 1.8277056 1.636156             0
## 27  1.0296194 1.5711544 2.135599             0
## 28  1.0296194 0.5470225 2.752340             1
## 29  1.3862944 1.6865286 1.958303             0
## 30  1.1939225 1.9776164 1.888013             0
## 31  1.7227666 1.3006003 2.266950             1
## 32  0.7419373 0.8890840 2.306472             0
## 33  1.6094379 1.2513906 1.528350             0
## 34  1.0296194 0.6771194 2.887701             1
## 35  1.0296194 1.5711544 2.041628             0
## 36  1.3350011 1.6325097 1.675069             0
## 37  1.6486586 1.1629008 1.644826             0
## 38  1.0296194 0.7749576 2.622197             1
## 39  1.4350845 2.0811401 2.331268             0
## 40  2.1162555 0.8164704 2.245340             1
## 41  1.8082888 1.6514624 2.152278             0
## 42  1.0296194 0.2963197 2.853724             1
## 43  1.8562980 0.9939552 2.128265             0
## 44  0.0000000 2.3595040 2.004158             0
## 45  2.0541237 1.8288465 2.367502             0
## 46  1.6292405 1.7386048 2.659006             0
## 47  1.0296194 1.3842172 2.195307             1
## 48  1.5260563 1.3941881 2.516688             0
## 49  1.0296194 1.1311763 2.343471             1
## 50  0.6931472 1.4443274 2.288156             1
## 51  2.0412203 1.9888738 2.018986             0
## 52  2.0541237 1.8858720 2.576313             0
## 53  1.3350011 1.2120303 2.131204             0
## 54  1.9600948 1.8352818 2.052762             0
## 55  0.5877867 0.5812654 2.580825             1
## 56  1.4816045 1.3545457 2.847572             1
## 57  2.0918641 1.5464342 1.554996             0
## 58  2.0918641 1.6509445 1.443850             0
## 59  1.6486586 1.6028362 2.090814             0
## 60  1.0296194 0.4176571 3.174471             1
## 61  2.1162555 0.8862026 2.298297             1
## 62  1.5260563 0.9240208 2.329427             0
## 63  1.0296194 0.6870788 2.883698             1
## 64  2.0541237 1.3319966 1.883326             0
## 65  1.8082888 1.8932174 2.316454             0
## 66  0.6931472 1.5491570 2.021436             1
## 67  1.0647107 0.5626968 2.883297             0
## 68  1.0296194 0.6199849 2.467308             1
## 69  1.3350011 1.0291193 2.765042             1
## 70  1.7227666 1.4226263 2.120880             1
## 71  1.0296194 0.1562342 2.120139             1
## 72  0.7419373 0.8841807 2.310225             0
## 73  2.1162555 0.8862026 2.434569             1
## 74  1.8870696 1.2299621 2.131938             1
## 75  1.0296194 0.7422706 2.920505             1
## 76  1.3350011 1.6653077 1.960908             0
## 77  2.1162555 0.4224533 2.778492             1
## 78  1.8870696 1.1352977 2.381689             0
## 79  1.4586150 1.8020728 1.432570             0
## 80  1.2237754 1.5130151 1.901015             0
## 81  1.6486586 0.8558611 2.530819             0
## 82  1.0296194 1.2308679 2.206318             1
## 83  1.0296194 0.5456328 2.577317             1
## 84  1.3350011 1.6325097 1.493303             0
## 85  2.3025851 0.8844285 1.952200             1
## 86  1.8562980 1.8229189 1.852759             0
## 87  2.1162555 0.6298346 1.661897             1
## 88  1.0296194 0.3060130 2.769395             1
## 89  1.6486586 1.0043382 2.291969             0
## 90  1.8245493 1.9190820 2.378158             0
## 91  1.3862944 1.6865286 1.742416             0
## 92  2.1041342 2.0576815 1.679807             0
## 93  1.0296194 0.5985617 2.954499             1
## 94  1.2237754 1.6893391 2.338605             0
## 95  2.0541237 1.8686896 1.721301             0
## 96  1.0296194 0.6684446 2.357948             1
## 97  1.1939225 2.1738536 1.815099             0
## 98  1.0296194 0.4407679 3.251321             1
## 99  1.0296194 0.6944463 2.623166             1
## 100 1.0296194 1.7893065 2.000833             1
## 101 0.6931472 1.4429110 2.827284             1
## 102 1.4816045 1.4713016 2.221956             0
## 103 2.1162555 0.4843995 2.508769             1
## 104 0.6418539 1.9905693 2.455202             0
## 105 1.0296194 0.4633566 2.718032             1
## 106 1.0296194 0.8309507 2.420996             1
## 107 0.6931472 0.8708330 1.864340             0
## 108 1.6863990 1.8664649 1.664308             0
## 109 0.5877867 0.6150775 2.443534             1
## 110 1.8082888 1.6514624 1.943414             0
## 111 1.7227666 1.0627778 1.666711             1
## 112 1.1939225 2.0560194 1.900092             0
## 113 1.0296194 1.6546216 2.139975             1
## 114 1.8562980 1.9902277 1.925600             0
## 115 1.6292405 1.6293190 2.169411             0
## 116 2.1162555 1.8357764 1.951325             0
## 117 1.0296194 1.0548345 2.578822             1
## 118 1.5260563 1.1322082 2.152278             0
## 119 0.5877867 0.8527118 2.586817             1
## 120 1.7227666 1.1854320 1.966095             1
## 121 0.6931472 1.4487761 2.447992             1
## 122 1.6292405 1.7441261 1.797734             0
## 123 1.7227666 1.3006003 1.738013             1
## 124 1.0296194 0.2509143 2.297666             1
## 125 2.3025851 0.8278966 1.807989             1
## 126 1.6486586 0.9848835 2.165864             0
## 127 1.0296194 0.1283932 3.361090             1
## 128 1.0296194 1.5711544 2.102190             0
## 129 0.7419373 0.7934449 2.652389             0
## 130 1.9459101 1.7851376 1.947817             0
## 131 1.0296194 0.3481890 2.581826             1
## 132 1.0296194 0.6443245 2.446322             1
## 133 1.3862944 1.6865286 1.887078             0
## 134 1.0296194 1.0380481 2.452988             1
## 135 2.2407097 1.7724067 1.467447             0
## 136 1.6094379 1.2513906 1.880502             0
## 137 2.0541237 1.8053500 3.104814             1
## 138 0.6931472 1.5037662 1.873881             1
## 139 0.5877867 0.4774136 2.890895             1
## 140 1.8562980 1.8229189 1.946058             0
## 141 1.6292405 1.7441261 2.121621             0
## 142 1.3350011 1.2172542 2.251275             0
## 143 2.1162555 0.7710337 1.491807             1
## 144 0.5877867 0.7470196 2.569263             1
## 145 1.3350011 0.8754271 2.471680             1
## 146 1.7227666 1.0627778 1.605709             1
## 147 0.5877867 0.3642264 3.252582             1
## 148 1.7227666 1.1680451 1.852759             1
## 149 1.0296194 0.3549434 3.134950             1
## 150 1.4109870 1.8714944 2.063778             0
## 151 1.0296194 0.7536306 2.854952             1
## 152 1.9315214 1.7032379 2.054343             0
## 153 1.4816045 1.2954392 2.521416             0
## 154 1.0647107 0.6002641 3.096145             0
## 155 2.1162555 0.7419373 2.230699             1
## 156 1.6863990 1.4055086 1.522620             0
## 157 1.0296194 0.5844478 2.833110             1
## 158 2.1162555 1.8357764 1.459666             0
## 159 0.7419373 0.9986815 2.198760             1
## 160 2.1162555 0.7132929 1.242893             1
## 161 1.0296194 0.7911809 2.888500             1
## 162 1.7227666 1.1680451 1.462788             1
## 163 2.0918641 1.6572180 1.661897             0
## 164 1.9315214 1.8888106 2.171534             0
## 165 1.8562980 0.9540103 2.449104             0
## 166 1.3609766 2.0575154 1.871980             0
## 167 1.8562980 1.9902277 1.966095             0
## 168 1.0296194 0.4906637 2.710794             1
## 169 1.0296194 0.4992590 2.986607             1
## 170 1.0296194 0.9183686 2.367502             1
## 171 1.5475625 1.6866026 1.628651             0
## 172 2.1162555 0.5518140 2.527170             1
## 173 0.6931472 1.5037662 2.038424             1
## 174 1.5686159 1.2990739 1.838078             0
## 175 2.3025851 0.7317908 2.240702             1
## 176 1.0296194 0.6919465 2.503462             1
## 177 1.0296194 0.5609292 2.410142             1
## 178 1.4586150 1.5046550 2.087759             0
## 179 1.0296194 0.3642958 3.128833             1
## 180 2.3025851 0.7574826 2.454649             1
## 181 1.6486586 1.2280311 1.786316             0
## 182 1.8562980 1.9509688 2.238709             0
## 183 1.0296194 0.7737128 2.657119             1
## 184 1.6292405 2.1629321 1.688036             0
## 185 1.6486586 1.0945708 2.408994             0
## 186 0.7419373 1.0216592 2.111950             0
## 187 1.9600948 1.8462634 1.459666             0
## 188 1.0296194 0.8621302 2.584823             1
## 189 1.0296194 0.6443245 1.742416             1
## 190 1.0296194 1.2034827 1.978094             1
## 191 1.6863990 1.7460820 1.929189             0
## 192 1.2237754 1.6893391 1.719048             0
## 193 1.4816045 1.4881738 1.874830             0
## 194 1.0296194 0.6492998 2.979490             1
## 195 2.1162555 0.4763584 2.297035             1
## 196 1.6292405 1.7441261 1.952200             0
## 197 0.6931472 0.9076939 2.130470             0
## 198 1.0296194 0.7875479 2.542732             1
## 199 1.0296194 0.4236324 2.768525             1
## 200 2.3025851 0.6575718 2.008299             1
## 201 1.9315214 1.8888106 1.671497             0
## 202 2.1162555 0.4250063 3.048113             1
## 203 1.0296194 0.5892301 2.742182             1
## 204 0.5877867 0.5120449 2.642879             1
## 205 1.1939225 2.0770512 2.117912             0
## 206 0.6931472 1.4098156 2.708978             1
## 207 2.1041342 2.0576815 1.706549             0
## 208 1.4816045 1.4739618 1.873881             0
## 209 1.3609766 2.0863551 2.165153             0
## 210 1.8870696 1.0610143 2.616853             1
## 211 1.0296194 0.3264940 2.872026             1
## 212 1.3350011 0.8678145 2.290064             1
## 213 0.5877867 0.6764587 2.566230             1
## 214 1.3609766 0.6962922 2.600197             0
## 215 1.0296194 0.4634195 3.128492             1
## 216 1.0296194 1.8653816 1.889882             1
## 217 1.0296194 0.9322822 2.772867             1
## 218 2.3025851 1.0550087 1.467447             1
## 219 1.0296194 0.8352108 2.653336             1
## 220 1.4109870 1.8714944 2.008299             0
## 221 2.3025851 0.6390077 1.982345             1
## 222 1.5260563 1.0416891 2.271481             0
## 223 2.0149030 1.9513098 1.764104             0
## 224 2.3025851 0.5883421 1.723548             1
## 225 1.7227666 1.4226263 1.678625             1
## 226 1.9459101 1.8437192 2.511414             0
## 227 1.0647107 0.5993309 2.623650             0
## 228 1.7227666 1.3450556 1.351758             1
## 229 0.6931472 1.4291144 2.353744             1
## 230 1.0296194 1.0059120 2.409568             1
## 231 1.0296194 1.1205368 2.417579             1
## 232 1.0296194 0.8971895 2.558106             1
## 233 1.2237754 1.5520418 2.272773             0
## 234 1.0296194 1.2657920 2.465115             1
## 235 1.8870696 1.2129226 2.189760             1
## 236 1.7917595 2.0351500 1.644826             0
## 237 0.0000000 2.3595040 1.772631             0
## 238 1.9315214 1.7032379 1.693865             0
## 239 1.8562980 1.2683269 2.162305             0
## 240 0.5877867 0.5119850 2.772867             1
## 241 1.0296194 0.7251787 2.692526             1
## 242 1.5260563 1.3859443 2.636660             0
## 243 2.1162555 0.4164710 2.553513             1
## 244 1.0296194 0.8397552 2.531339             1
## 245 1.6863990 1.4207682 1.930084             0
## 246 1.3609766 0.8143466 2.431190             0
## 247 1.0296194 0.6283953 2.503994             1
## 248 2.1162555 0.3789842 3.090920             1
## 249 0.7419373 0.9341699 2.495994             0
## 250 1.3350011 1.6653077 2.145782             0
## 251 2.0918641 1.4111577 1.692702             0
## 252 1.6486586 1.0462658 1.784224             0
## 253 1.0296194 0.9199241 2.331268             1
## 254 1.7917595 2.0351500 1.658269             0
## 255 2.3025851 0.7476827 2.124579             1
## 256 1.0296194 0.4629790 2.991457             1
## 257 1.3609766 0.7872748 2.425537             0
## 258 1.6094379 1.2513906 1.614708             0
## 259 1.4109870 1.8714944 2.356748             0
## 260 2.1162555 0.2970629 3.082524             1
## 261 1.6863990 1.5816144 1.608290             0
## 262 1.3609766 2.0010340 1.806969             0
## 263 1.3350011 0.8678145 2.386381             1
## 264 1.6486586 0.9014207 2.507179             0
## 265 2.1162555 0.3500229 3.029342             1
## 266 1.6486586 1.2301375 1.765174             0
## 267 2.1162555 0.4811908 2.415867             1
## 268 2.1162555 0.3448655 2.978363             1
## 269 1.0296194 0.9235444 1.982345             1
## 270 0.6931472 0.9182887 1.989950             0
## 271 1.0296194 0.7816158 2.682836             1
## 272 1.0296194 0.1639030 2.857812             1
## 273 0.5877867 0.9041777 2.467855             1
## 274 1.8562980 1.1417676 1.746797             0
## 275 1.3609766 0.6895909 2.455755             0
## 276 1.0296194 1.0301907 2.175063             1
## 277 1.0296194 0.9480219 2.668870             1
## 278 0.6931472 1.5437254 2.455755             1
## 279 1.0296194 0.6221344 2.439620             1
## 280 1.3609766 2.0863551 2.092338             0
## 281 1.5475625 2.3712059 1.764104             0
## 282 2.0541237 1.6957807 2.504525             0
## 283 0.5877867 0.8202203 2.305845             1
## 284 1.0296194 1.0235654 2.531859             1
## 285 1.3350011 1.6653077 1.767311             0
## 286 1.0296194 0.3457151 2.162305             1
## 287 1.5260563 1.1825857 1.991632             0
## 288 1.6486586 0.8138149 2.186278             0
## 289 1.0296194 0.4576780 2.868384             1
## 290 1.0296194 0.5168872 2.685612             1
## 291 2.1162555 0.8845936 2.266301             1
## 292 0.6931472 1.3340796 2.242692             1
## 293 1.7227666 1.0514159 2.133404             1
## 294 1.5040774 1.4877673 2.342864             0
## 295 1.0647107 0.7466406 2.372250             0
## 296 1.0296194 0.7524533 2.601183             1
## 297 1.2237754 1.5520418 1.974681             0
## 298 1.0296194 0.2870569 1.482766             1
## 299 1.6863990 1.5659457 1.822154             0
## 300 1.6292405 1.7441261 1.691538             0
## 301 1.6863990 1.4509813 1.439037             0
## 302 1.4816045 1.3725503 2.115680             0
## 303 1.4816045 1.4443746 2.447436             0
## 304 1.3350011 1.0291193 2.601183             1
## 305 1.5260563 1.1992115 1.655841             0
## 306 1.5260563 1.3917793 1.906533             0
## 307 0.5877867 0.5947071 2.487403             1
## 308 1.0296194 0.9997123 2.449660             1
## 309 1.8562980 1.8462634 2.249300             0
## 310 1.4816045 1.3654537 1.977242             0
## 311 1.4816045 1.3725503 2.215184             0
## 312 1.0296194 0.5828858 2.475494             1
## 313 1.8562980 1.1992115 1.845937             0
## 314 1.5040774 1.5643150 2.126792             0
## 315 0.5877867 0.8447518 2.232038             1
## 316 1.6486586 1.0106550 2.175767             0
## 317 1.1939225 2.1738536 1.805947             0
## 318 1.6486586 0.9547034 2.114190             0
## 319 1.2237754 1.5130151 1.930979             0
## 320 1.0296194 0.4536837 2.728818             1
## 321 1.7227666 1.1854320 2.149396             1
## 322 2.3025851 0.7607124 1.936328             1
## 323 1.0296194 0.3821965 2.704428             1
## 324 1.8562980 1.8462634 2.314589             0
## 325 1.5260563 1.3867692 2.334942             0
## 326 1.9459101 1.7052389 2.047210             0
## 327 1.5475625 1.6866026 1.255707             0
## 328 2.3418058 1.9891065 2.049593             0
## 329 0.6931472 1.3243658 2.729713             1
## 330 1.3609766 2.0737881 2.642879             0
## 331 1.0296194 0.8431177 2.593277             1
## 332 2.0541237 1.8479350 2.734625             0
## 333 0.6931472 1.3805026 2.655229             1
## 334 1.8082888 1.8932174 1.985732             0
## 335 1.0296194 0.5322740 2.703972             1
## 336 1.0296194 1.0635031 2.430626             1
## 337 1.8870696 2.2214076 1.872931             0
## 338 1.4816045 1.4881738 2.351335             0
## 339 1.4586150 1.4086672 2.173653             0
## 340 1.5260563 1.2815725 2.101435             0
## 341 2.1162555 0.5686605 1.947817             1
## 342 1.6486586 1.0083228 1.962640             0
## 343 2.1517622 1.7313723 1.437426             0
## 344 1.0296194 0.4125069 2.371065             1
## 345 1.8245493 1.9190820 1.741318             0
## 346 0.6931472 1.4939373 2.546336             1
## 347 1.0296194 0.3544525 2.843042             1
## 348 1.4586150 1.8020728 1.746797             0
## 349 1.8245493 1.9190820 2.112697             0
## 350 1.4816045 1.3654537 2.389888             0
## 351 2.1162555 1.6327637 1.561858             0
## 352 2.0541237 1.7156880 2.316454             0
## 353 1.3609766 0.7356797 2.617340             0
## 354 1.4816045 1.2988283 2.883698             0
## 355 0.7419373 0.9986815 2.377569             0
## 356 1.5260563 1.1577299 1.960040             0
## 357 1.6486586 1.0149408 2.387551             0
## 358 2.3025851 0.6984829 1.903778             1
## 359 1.0296194 0.8878089 2.627518             1
## 360 1.5686159 1.2850919 2.195998             0
## 361 1.6292405 1.7698546 3.134950             0
## 362 1.6292405 2.1442105 1.852759             0
## 363 0.7419373 0.7525475 2.415296             0
## 364 1.6486586 1.1288505 2.016530             0
## 365 1.0296194 0.7436502 2.167994             1
## 366 1.4816045 1.4713016 2.623650             0
## 367 1.3350011 0.9155705 2.428932             1
## 368 1.0296194 0.6068810 3.074082             1
## 369 0.5877867 0.7507083 2.326967             1
## 370 1.6486586 0.9072500 2.486325             0
## 371 1.0296194 0.7039882 2.855770             1
## 372 1.8245493 1.9190820 2.035210             0
## 373 1.0296194 0.6684446 2.415867             1
## 374 1.3609766 2.0737881 2.320794             0
## 375 1.0296194 0.4272918 2.906762             1
## 376 1.0296194 0.9147295 2.654756             1
## 377 1.0296194 0.6557049 2.576816             1
## 378 1.8562980 1.9902277 2.118655             0
## 379 1.0296194 0.3833558 3.046677             1
## 380 1.9315214 1.7032379 2.117912             0
## 381 1.4816045 1.3725503 2.108956             0
## 382 1.7227666 1.2164250 1.576747             1
## 383 1.4586150 1.3992599 2.287519             0
## 384 1.0296194 0.5777924 2.538084             1
## 385 1.0296194 0.3264940 2.792668             1
## 386 1.0296194 1.0016240 2.255869             1
## 387 1.0296194 1.1096841 2.534975             1
## 388 1.0647107 0.6249219 2.624134             0
## 389 1.4350845 2.0811401 2.191843             0
## 390 1.7227666 1.1144856 2.778923             1
## 391 1.3350011 1.6653077 1.887078             0
## 392 1.8562980 1.0699727 1.905616             0
## 393 1.0296194 0.8160725 2.627035             1
## 394 1.6292405 1.8062703 2.530298             0
## 395 1.0296194 0.3050553 1.550849             1
## 396 1.7917595 2.4953931 1.650964             0
## 397 1.9459101 1.7052389 2.182786             0
## 398 1.0296194 0.4940863 2.728370             1
## 399 1.0296194 1.1481323 2.253903             1
## 400 2.1162555 0.5570410 2.467308             1
## 401 1.0296194 1.0676031 2.627035             1
## 402 2.0541237 1.8686896 1.673880             0
## 403 1.0296194 1.3147984 2.371657             1
## 404 1.4586150 1.4472719 1.892677             0
## 405 1.0296194 0.7363025 2.700320             1
## 406 1.8562980 0.9731624 2.083161             0
## 407 2.0541237 1.8686896 1.421109             0
## 408 1.7404662 2.2178547 1.793599             0
## 409 1.0296194 0.7244036 2.579323             1
## 410 0.7419373 1.0216592 2.351335             0
## 411 1.5260563 1.3724490 2.257179             0
## 412 1.6292405 1.6293190 2.418719             0
## 413 1.3609766 2.0575154 2.119397             0
## 414 0.6931472 0.8274595 2.086229             0
## 415 0.7419373 0.7452177 2.544278             0
## 416 2.1041342 2.0576815 1.824160             0
## 417 1.5686159 1.2990739 2.013245             0
## 418 1.6486586 0.9353087 2.575811             0
## 419 2.1162555 0.5637785 1.859532             1
## 420 1.6486586 1.0399233 1.714524             0
## 421 1.5475625 2.3712059 1.982345             0
## 422 2.1162555 0.5868974 1.765174             1
## 423 2.1162555 0.6784903 1.200463             1
## 424 0.6931472 1.3344483 2.759800             1
## 425 0.6931472 1.3316270 2.637619             1
## 426 1.1939225 1.9361484 2.096896             0
## 427 2.1162555 0.4647398 2.368096             1
## 428 2.1162555 0.5592729 2.472771             1
## 429 1.0296194 0.2748248 2.377569             1
## 430 1.0296194 0.8566256 2.607572             1
## 431 1.4816045 2.2216895 2.004158             0
## 432 2.3418058 1.9891065 1.597914             0
## 433 1.3350011 0.8792532 2.346502             1
## 434 1.3350011 1.3473716 2.163730             0
## 435 2.0541237 1.5187908 1.753327             0
## 436 0.6931472 1.4936678 2.585322             1
## 437 2.0541237 1.5187908 1.658269             0
## 438 1.0296194 0.4057317 3.106196             1
## 439 2.1162555 1.6327637 1.422757             0
## 440 0.6931472 1.3340796 2.269542             1
## 441 1.9459101 1.7851376 1.843978             0
## 442 1.0296194 0.9545494 2.541701             1
## 443 1.0296194 1.4105723 2.184184             1
## 444 2.3418058 1.9891065 1.877670             0
## 445 1.6486586 1.1289152 2.065342             0
## 446 1.3350011 1.6325097 1.526921             0
## 447 1.0296194 0.3747997 2.977611             1
## 448 2.0014800 1.8277056 1.713389             0
## 449 1.0296194 0.7285143 2.610510             1
## 450 1.0296194 0.9293649 2.267599             1
## 451 1.0296194 0.1605871 3.263885             1
## 452 0.6931472 1.3893646 2.400347             1
## 453 1.5260563 1.1311440 1.863380             0
## 454 1.0296194 0.4746180 3.014009             1
## 455 0.6931472 1.4815136 2.535494             1
## 456 1.3862944 1.6865286 1.932765             0
## 457 1.4816045 1.2774556 3.091618             0
## 458 2.0541237 1.7834752 2.675405             1
## 459 1.0296194 0.1218636 2.070798             1
## 460 1.7227666 1.2952476 2.215863             1
## 461 1.0296194 1.0221631 2.568253             1
## 462 1.0296194 0.7984977 2.475494             1
## 463 1.0296194 0.6604174 2.781511             1
## 464 1.0296194 0.7886392 2.291335             1
## 465 1.4586150 1.6122539 2.310850             0
## 466 1.0296194 0.5709795 2.950292             1
library(caret)
cm1 <- confusionMatrix(as.factor(df1$scored_target), as.factor(df1$target), positive="1", mode="everything") %>% print
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction   0   1
##          0 221  17
##          1  16 212
##                                          
##                Accuracy : 0.9292         
##                  95% CI : (0.902, 0.9508)
##     No Information Rate : 0.5086         
##     P-Value [Acc > NIR] : <2e-16         
##                                          
##                   Kappa : 0.8583         
##  Mcnemar's Test P-Value : 1              
##                                          
##             Sensitivity : 0.9258         
##             Specificity : 0.9325         
##          Pos Pred Value : 0.9298         
##          Neg Pred Value : 0.9286         
##               Precision : 0.9298         
##                  Recall : 0.9258         
##                      F1 : 0.9278         
##              Prevalence : 0.4914         
##          Detection Rate : 0.4549         
##    Detection Prevalence : 0.4893         
##       Balanced Accuracy : 0.9291         
##                                          
##        'Positive' Class : 1              
## 
library(pROC)
curve1 <- roc(df1$target, df1$scored_target)
plot(curve1, main="pROC")

# Prediction for Test Data
crime_eval <- read.csv("https://raw.githubusercontent.com/xkong100/data-621/master/HW%203/crime-evaluation-data.csv", stringsAsFactors = FALSE, check.names = FALSE, na.strings = c("", "NA"))
head(crime_eval)
##   zn indus chas   nox    rm  age    dis rad tax ptratio  black lstat medv
## 1  0  7.07    0 0.469 7.185 61.1 4.9671   2 242    17.8 392.83  4.03 34.7
## 2  0  8.14    0 0.538 6.096 84.5 4.4619   4 307    21.0 380.02 10.26 18.2
## 3  0  8.14    0 0.538 6.495 94.4 4.4547   4 307    21.0 387.94 12.80 18.4
## 4  0  8.14    0 0.538 5.950 82.0 3.9900   4 307    21.0 232.60 27.71 13.2
## 5  0  5.96    0 0.499 5.850 41.5 3.9342   5 279    19.2 396.90  8.77 21.0
## 6 25  5.13    0 0.453 5.741 66.2 7.2254   8 284    19.7 395.11 13.15 18.7
summary(crime_eval)
##        zn             indus             chas           nox        
##  Min.   : 0.000   Min.   : 1.760   Min.   :0.00   Min.   :0.3850  
##  1st Qu.: 0.000   1st Qu.: 5.692   1st Qu.:0.00   1st Qu.:0.4713  
##  Median : 0.000   Median : 8.915   Median :0.00   Median :0.5380  
##  Mean   : 8.875   Mean   :11.507   Mean   :0.05   Mean   :0.5592  
##  3rd Qu.: 0.000   3rd Qu.:18.100   3rd Qu.:0.00   3rd Qu.:0.6258  
##  Max.   :90.000   Max.   :25.650   Max.   :1.00   Max.   :0.7400  
##        rm             age              dis             rad        
##  Min.   :3.561   Min.   :  6.80   Min.   :1.202   Min.   : 1.000  
##  1st Qu.:5.874   1st Qu.: 56.62   1st Qu.:2.041   1st Qu.: 4.000  
##  Median :6.143   Median : 83.25   Median :3.373   Median : 5.000  
##  Mean   :6.214   Mean   : 70.99   Mean   :3.787   Mean   : 9.775  
##  3rd Qu.:6.532   3rd Qu.: 93.10   3rd Qu.:4.527   3rd Qu.:24.000  
##  Max.   :8.247   Max.   :100.00   Max.   :9.089   Max.   :24.000  
##       tax           ptratio          black            lstat       
##  Min.   :188.0   Min.   :14.70   Min.   : 50.92   Min.   : 2.960  
##  1st Qu.:276.8   1st Qu.:18.40   1st Qu.:367.56   1st Qu.: 6.435  
##  Median :307.0   Median :19.60   Median :391.64   Median :11.685  
##  Mean   :393.5   Mean   :19.12   Mean   :351.48   Mean   :12.905  
##  3rd Qu.:666.0   3rd Qu.:20.20   3rd Qu.:395.29   3rd Qu.:17.363  
##  Max.   :666.0   Max.   :21.20   Max.   :396.90   Max.   :34.020  
##       medv      
##  Min.   : 8.40  
##  1st Qu.:16.98  
##  Median :20.55  
##  Mean   :21.88  
##  3rd Qu.:25.00  
##  Max.   :50.00
attach(crime_eval)
## The following objects are masked from crime:
## 
##     age, black, chas, dis, indus, lstat, medv, nox, ptratio, rad,
##     rm, tax, zn
T_sqrt_age1 <-sqrt(101-crime_eval$age)
T_log_ptratio1 <- log(22.2-crime_eval$ptratio)
T_log_dis1 <- log(crime_eval$dis)
T_cubic_lstat1 <- (crime_eval$lstat)^(1/3)
crime_eval<- crime_eval %>% mutate(sage=T_sqrt_age1,lptratio=T_log_ptratio1,ldis= T_log_dis1, clstat=T_cubic_lstat1) %>% dplyr ::select(-age,-ptratio,-dis,-lstat)
kable(head(crime_eval))
zn indus chas nox rm rad tax black medv sage lptratio ldis clstat
0 7.07 0 0.469 7.185 2 242 392.83 34.7 6.316645 1.4816045 1.602836 1.591360
0 8.14 0 0.538 6.096 4 307 380.02 18.2 4.062019 0.1823216 1.495575 2.172947
0 8.14 0 0.538 6.495 4 307 387.94 18.4 2.569046 0.1823216 1.493960 2.339214
0 8.14 0 0.538 5.950 4 307 232.60 13.2 4.358899 0.1823216 1.383791 3.026069
0 5.96 0 0.499 5.850 5 279 396.90 21.0 7.713624 1.0986123 1.369708 2.062212
25 5.13 0 0.453 5.741 8 284 395.11 18.7 5.899152 0.9162907 1.977603 2.360344
test_prediction <- predict(m3, newdata= crime_eval, type="response")
kable(head(bind_cols(crime_eval, data.frame(scored_target= test_prediction)) %>% mutate (scored_target= ifelse(scored_target > 0.5, 1, 0)) %>% print))
##    zn indus chas   nox    rm rad tax  black medv     sage  lptratio
## 1   0  7.07    0 0.469 7.185   2 242 392.83 34.7 6.316645 1.4816045
## 2   0  8.14    0 0.538 6.096   4 307 380.02 18.2 4.062019 0.1823216
## 3   0  8.14    0 0.538 6.495   4 307 387.94 18.4 2.569047 0.1823216
## 4   0  8.14    0 0.538 5.950   4 307 232.60 13.2 4.358899 0.1823216
## 5   0  5.96    0 0.499 5.850   5 279 396.90 21.0 7.713624 1.0986123
## 6  25  5.13    0 0.453 5.741   8 284 395.11 18.7 5.899152 0.9162907
## 7  25  5.13    0 0.453 5.966   8 284 378.08 16.0 2.756810 0.9162907
## 8   0  4.49    0 0.449 6.630   3 247 392.30 26.6 6.700746 1.3083328
## 9   0  4.49    0 0.449 6.121   3 247 395.15 22.2 6.648308 1.3083328
## 10  0  2.89    0 0.445 6.163   2 276 391.83 21.4 5.603570 1.4350845
## 11  0 25.65    0 0.581 5.856   2 188 370.31 17.3 2.000000 1.1314021
## 12  0 25.65    0 0.581 5.613   2 188 359.29 15.7 2.323790 1.1314021
## 13  0 21.89    0 0.624 5.637   4 437 396.90 14.3 2.509980 0.0000000
## 14  0 19.58    0 0.605 6.101   5 403 240.16 25.0 2.828427 2.0149030
## 15  0 19.58    0 0.605 5.880   5 403 348.13 19.1 1.923538 2.0149030
## 16  0 10.59    1 0.489 5.960   4 277 393.25 21.7 2.983287 1.2809338
## 17  0  6.20    0 0.504 6.552   8 307 380.34 31.5 8.921883 1.5686159
## 18  0  6.20    0 0.507 8.247   8 307 378.95 48.3 5.531727 1.5686159
## 19 22  5.86    0 0.431 6.957   7 330 386.09 29.6 9.705668 1.1314021
## 20 90  2.97    0 0.400 7.088   1 285 394.72 32.2 8.955445 1.9315214
## 21 80  1.76    0 0.385 6.230   1 241 341.60 20.1 8.336666 1.3862944
## 22 33  2.18    0 0.472 6.616   7 222 393.36 28.4 6.549809 1.3350011
## 23  0  9.90    0 0.544 6.122   4 304 396.90 22.1 6.942622 1.3350011
## 24  0  7.38    0 0.493 6.415   5 287 396.90 25.0 7.803845 0.9555114
## 25  0  7.38    0 0.493 6.312   5 287 396.90 23.0 8.491172 0.9555114
## 26  0  5.19    0 0.515 5.895   5 224 394.81 18.5 6.434283 0.6931472
## 27 80  2.01    0 0.435 6.635   4 280 390.94 24.5 8.443933 1.6486586
## 28  0 18.10    0 0.718 3.561  24 666 354.70 27.5 3.619392 0.6931472
## 29  0 18.10    1 0.631 7.016  24 666 392.05 50.0 1.870829 0.6931472
## 30  0 18.10    0 0.584 6.348  24 666  83.45 14.5 3.860052 0.6931472
## 31  0 18.10    0 0.740 5.935  24 666  68.95  8.4 3.619392 0.6931472
## 32  0 18.10    0 0.740 5.627  24 666 396.90 12.8 2.664583 0.6931472
## 33  0 18.10    0 0.740 5.818  24 666 391.45 10.5 2.932576 0.6931472
## 34  0 18.10    0 0.740 6.219  24 666 395.69 18.4 1.000000 0.6931472
## 35  0 18.10    0 0.740 5.854  24 666 240.52 10.8 2.097618 0.6931472
## 36  0 18.10    0 0.713 6.525  24 666  50.92 14.1 3.807887 0.6931472
## 37  0 18.10    0 0.713 6.376  24 666 391.43 17.7 3.549648 0.6931472
## 38  0 18.10    0 0.655 6.209  24 666 396.90 21.4 5.966574 0.6931472
## 39  0  9.69    0 0.585 5.794   6 391 396.90 18.3 5.513620 1.0986123
## 40  0 11.93    0 0.573 6.976   1 273 396.90 23.9 3.162278 0.1823216
##         ldis   clstat scored_target
## 1  1.6028362 1.591360             0
## 2  1.4955747 2.172947             1
## 3  1.4939597 2.339214             1
## 4  1.3837912 3.026069             1
## 5  1.3697076 2.062211             0
## 6  1.9776026 2.360344             0
## 7  1.9196395 2.435131             1
## 8  1.4901362 1.869122             0
## 9  1.3211156 2.036014             0
## 10 1.2513906 2.246662             0
## 11 0.6649534 2.939916             0
## 12 0.5637216 3.009599             0
## 13 0.6830463 2.637140             1
## 14 0.8256656 2.140703             1
## 15 0.8707493 2.291335             1
## 16 1.3550875 2.584823             0
## 17 1.2164250 1.554996             1
## 18 1.2952476 1.580759             1
## 19 2.1868038 1.522620             0
## 20 1.9888738 1.987421             0
## 21 2.2070869 2.347107             0
## 22 1.2149127 2.074677             0
## 23 0.9708925 1.815099             0
## 24 1.5520418 1.829155             0
## 25 1.6893391 1.832139             0
## 26 1.7254416 2.193923             1
## 27 2.1215427 1.816111             0
## 28 0.4782198 1.923800             1
## 29 0.1843196 1.435811             1
## 30 0.7191560 2.603152             1
## 31 0.5991661 3.240247             1
## 32 0.5972969 2.838912             1
## 33 0.6239043 2.806702             1
## 34 0.6955443 2.550442             1
## 35 0.6395354 2.876061             1
## 36 0.8902752 2.627035             1
## 37 0.9427769 2.446879             1
## 38 1.0863373 2.364525             1
## 39 1.0621903 2.415867             1
## 40 0.7735744 1.780026             0
zn indus chas nox rm rad tax black medv sage lptratio ldis clstat scored_target
0 7.07 0 0.469 7.185 2 242 392.83 34.7 6.316645 1.4816045 1.602836 1.591360 0
0 8.14 0 0.538 6.096 4 307 380.02 18.2 4.062019 0.1823216 1.495575 2.172947 1
0 8.14 0 0.538 6.495 4 307 387.94 18.4 2.569046 0.1823216 1.493960 2.339214 1
0 8.14 0 0.538 5.950 4 307 232.60 13.2 4.358899 0.1823216 1.383791 3.026069 1
0 5.96 0 0.499 5.850 5 279 396.90 21.0 7.713624 1.0986123 1.369708 2.062212 0
25 5.13 0 0.453 5.741 8 284 395.11 18.7 5.899152 0.9162907 1.977603 2.360344 0